Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations14
Missing cells0
Missing cells (%)0.0%
Total size in memory17.0 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "A+" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:27:35.541925
Analysis finished2025-03-30 05:27:37.995460
Duration2.45 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size224.0 B
2025-03-30T10:57:38.167173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.285714286
Min length3

Characters and Unicode

Total characters74
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFitch
2nd rowS&P
3rd rowMoody's
4th rowFitch
5th rowFitch
ValueCountFrequency (%)
moody's 6
42.9%
fitch 4
28.6%
s&p 4
28.6%
2025-03-30T10:57:39.072836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 12
16.2%
M 6
 
8.1%
d 6
 
8.1%
y 6
 
8.1%
' 6
 
8.1%
s 6
 
8.1%
F 4
 
5.4%
i 4
 
5.4%
t 4
 
5.4%
c 4
 
5.4%
Other values (4) 16
21.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 12
16.2%
M 6
 
8.1%
d 6
 
8.1%
y 6
 
8.1%
' 6
 
8.1%
s 6
 
8.1%
F 4
 
5.4%
i 4
 
5.4%
t 4
 
5.4%
c 4
 
5.4%
Other values (4) 16
21.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 12
16.2%
M 6
 
8.1%
d 6
 
8.1%
y 6
 
8.1%
' 6
 
8.1%
s 6
 
8.1%
F 4
 
5.4%
i 4
 
5.4%
t 4
 
5.4%
c 4
 
5.4%
Other values (4) 16
21.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 74
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 12
16.2%
M 6
 
8.1%
d 6
 
8.1%
y 6
 
8.1%
' 6
 
8.1%
s 6
 
8.1%
F 4
 
5.4%
i 4
 
5.4%
t 4
 
5.4%
c 4
 
5.4%
Other values (4) 16
21.6%

Rating
Text

Constant 

Distinct1
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size224.0 B
2025-03-30T10:57:39.310465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters28
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA+
2nd rowA+
3rd rowA+
4th rowA+
5th rowA+
ValueCountFrequency (%)
a 14
100.0%
2025-03-30T10:57:39.969609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 14
50.0%
+ 14
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 14
50.0%
+ 14
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 14
50.0%
+ 14
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 14
50.0%
+ 14
50.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05065316771
Minimum-1.183573168
Maximum2.244806606
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:40.378326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.183573168
5-th percentile-0.9650330021
Q1-0.7624952266
median-0.02828233212
Q30.3767620082
95-th percentile2.03603818
Maximum2.244806606
Range3.428379774
Interquartile range (IQR)1.139257235

Descriptive statistics

Standard deviation1.009160501
Coefficient of variation (CV)19.92294948
Kurtosis0.862615157
Mean0.05065316771
Median Absolute Deviation (MAD)0.5953861197
Skewness1.133984044
Sum0.709144348
Variance1.018404918
MonotonicityNot monotonic
2025-03-30T10:57:40.786150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1506590435 1
 
7.1%
-0.8473575281 1
 
7.1%
0.5035970641 1
 
7.1%
0.05062981092 1
 
7.1%
-0.6871751753 1
 
7.1%
-0.4127616132 1
 
7.1%
0.4260258668 1
 
7.1%
-0.1071944752 1
 
7.1%
-0.7935050177 1
 
7.1%
2.244806606 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.183573168 1
7.1%
-0.8473575281 1
7.1%
-0.7935050177 1
7.1%
-0.7876019104 1
7.1%
-0.6871751753 1
7.1%
ValueCountFrequency (%)
2.244806606 1
7.1%
1.923624412 1
7.1%
0.5035970641 1
7.1%
0.4260258668 1
7.1%
0.2289704322 1
7.1%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.262428894
Minimum-1.875778639
Maximum1.590157719
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:57:41.236074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.875778639
5-th percentile-1.684597575
Q1-1.1612205
median-0.230066301
Q30.4210608794
95-th percentile1.245970278
Maximum1.590157719
Range3.465936358
Interquartile range (IQR)1.58228138

Descriptive statistics

Standard deviation1.066197508
Coefficient of variation (CV)-4.062805324
Kurtosis-1.009374867
Mean-0.262428894
Median Absolute Deviation (MAD)0.869512128
Skewness0.07572578621
Sum-3.674004516
Variance1.136777126
MonotonicityNot monotonic
2025-03-30T10:57:41.659724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4200474646 1
 
7.1%
1.060638579 1
 
7.1%
-1.267382302 1
 
7.1%
-0.04008513737 1
 
7.1%
-0.8427350965 1
 
7.1%
0.2019074418 1
 
7.1%
0.2693176543 1
 
7.1%
-1.581653926 1
 
7.1%
0.8261904737 1
 
7.1%
-1.875778639 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.875778639 1
7.1%
-1.581653926 1
7.1%
-1.491974325 1
7.1%
-1.267382302 1
7.1%
-0.8427350965 1
7.1%
ValueCountFrequency (%)
1.590157719 1
7.1%
1.060638579 1
7.1%
0.8261904737 1
7.1%
0.4716419544 1
7.1%
0.2693176543 1
7.1%

monthvwretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08899151732
Minimum-3.478169214
Maximum1.961303472
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:57:42.081589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.478169214
5-th percentile-2.207413791
Q1-0.6939123863
median0.4808468364
Q31.127642747
95-th percentile1.719399901
Maximum1.961303472
Range5.439472686
Interquartile range (IQR)1.821555133

Descriptive statistics

Standard deviation1.477317657
Coefficient of variation (CV)16.60065702
Kurtosis1.197241639
Mean0.08899151732
Median Absolute Deviation (MAD)0.8000959599
Skewness-1.094225306
Sum1.245881242
Variance2.182467459
MonotonicityNot monotonic
2025-03-30T10:57:42.510413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8469337372 1
 
7.1%
-0.2348483336 1
 
7.1%
1.589144132 1
 
7.1%
0.6796596692 1
 
7.1%
1.355970385 1
 
7.1%
-3.478169214 1
 
7.1%
0.8928253643 1
 
7.1%
0.05407087426 1
 
7.1%
1.961303472 1
 
7.1%
0.5861056047 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.478169214 1
7.1%
-1.52316087 1
7.1%
-1.37158938 1
7.1%
-0.8469337372 1
7.1%
-0.2348483336 1
7.1%
ValueCountFrequency (%)
1.961303472 1
7.1%
1.589144132 1
7.1%
1.355970385 1
7.1%
1.205915207 1
7.1%
0.8928253643 1
7.1%

monthvwretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00211009852
Minimum-1.135865498
Maximum2.389878272
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:42.883385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.135865498
5-th percentile-1.05575467
Q1-0.5066126403
median-0.09321175302
Q30.2292431927
95-th percentile1.2528357
Maximum2.389878272
Range3.52574377
Interquartile range (IQR)0.735855833

Descriptive statistics

Standard deviation0.8781131246
Coefficient of variation (CV)-416.1479269
Kurtosis3.628328092
Mean-0.00211009852
Median Absolute Deviation (MAD)0.4284471332
Skewness1.441486896
Sum-0.02954137928
Variance0.7710826596
MonotonicityNot monotonic
2025-03-30T10:57:43.305184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.560225711 1
 
7.1%
-0.8186769853 1
 
7.1%
-0.1972216709 1
 
7.1%
0.2524797883 1
 
7.1%
-1.135865498 1
 
7.1%
-0.206238959 1
 
7.1%
0.1452040603 1
 
7.1%
0.6405820069 1
 
7.1%
0.01079816481 1
 
7.1%
-1.012618071 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.135865498 1
7.1%
-1.012618071 1
7.1%
-0.8186769853 1
7.1%
-0.6044144781 1
7.1%
-0.2132071269 1
7.1%
ValueCountFrequency (%)
2.389878272 1
7.1%
0.6405820069 1
7.1%
0.560225711 1
7.1%
0.2524797883 1
7.1%
0.1595334057 1
7.1%

monthewretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01366183274
Minimum-2.339593003
Maximum1.583030794
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:43.727474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.339593003
5-th percentile-1.285754771
Q1-0.6425980944
median-0.1091038318
Q30.7596169751
95-th percentile1.53608287
Maximum1.583030794
Range3.922623796
Interquartile range (IQR)1.402215069

Descriptive statistics

Standard deviation1.070453974
Coefficient of variation (CV)78.35361439
Kurtosis0.2687572011
Mean0.01366183274
Median Absolute Deviation (MAD)0.6488034265
Skewness-0.4243270718
Sum0.1912656584
Variance1.145871711
MonotonicityNot monotonic
2025-03-30T10:57:44.184799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.5793034369 1
 
7.1%
1.510803218 1
 
7.1%
-2.339593003 1
 
7.1%
1.583030794 1
 
7.1%
-0.605063076 1
 
7.1%
-0.6026478053 1
 
7.1%
-0.4953892429 1
 
7.1%
0.616215817 1
 
7.1%
0.8074173611 1
 
7.1%
0.2771815794 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.339593003 1
7.1%
-0.7183034162 1
7.1%
-0.6724678494 1
7.1%
-0.6551097672 1
7.1%
-0.605063076 1
7.1%
ValueCountFrequency (%)
1.583030794 1
7.1%
1.510803218 1
7.1%
0.9058876115 1
7.1%
0.8074173611 1
7.1%
0.616215817 1
7.1%

monthewretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2331843159
Minimum-3.568205299
Maximum2.760761936
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:57:44.600572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.568205299
5-th percentile-2.121631118
Q1-0.8319878493
median-0.1177876282
Q30.2602315759
95-th percentile1.626463192
Maximum2.760761936
Range6.328967235
Interquartile range (IQR)1.092219425

Descriptive statistics

Standard deviation1.416681889
Coefficient of variation (CV)-6.075373824
Kurtosis2.557469862
Mean-0.2331843159
Median Absolute Deviation (MAD)0.6296422457
Skewness-0.3249074322
Sum-3.264580422
Variance2.006987574
MonotonicityNot monotonic
2025-03-30T10:57:45.017710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5783139229 1
 
7.1%
-3.568205299 1
 
7.1%
-0.2215220967 1
 
7.1%
0.1490053669 1
 
7.1%
1.015686945 1
 
7.1%
-0.01988972949 1
 
7.1%
-1.342706559 1
 
7.1%
0.2973069788 1
 
7.1%
-0.003350869659 1
 
7.1%
-0.9165458248 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.568205299 1
7.1%
-1.342706559 1
7.1%
-1.332744471 1
7.1%
-0.9165458248 1
7.1%
-0.5783139229 1
7.1%
ValueCountFrequency (%)
2.760761936 1
7.1%
1.015686945 1
7.1%
0.7116226505 1
7.1%
0.2973069788 1
7.1%
0.1490053669 1
7.1%

monthsprtrn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2869002651
Minimum-1.605408991
Maximum1.601238227
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:57:45.400700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.605408991
5-th percentile-0.7899555964
Q1-0.1812842214
median0.2587507619
Q30.7837786907
95-th percentile1.360038233
Maximum1.601238227
Range3.206647218
Interquartile range (IQR)0.9650629121

Descriptive statistics

Standard deviation0.8046292809
Coefficient of variation (CV)2.804560953
Kurtosis1.201388257
Mean0.2869002651
Median Absolute Deviation (MAD)0.5134316177
Skewness-0.6479863439
Sum4.016603712
Variance0.6474282796
MonotonicityNot monotonic
2025-03-30T10:57:45.855603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2250059034 1
 
7.1%
-0.350865307 1
 
7.1%
1.601238227 1
 
7.1%
0.6890362032 1
 
7.1%
-0.05011917568 1
 
7.1%
1.230161313 1
 
7.1%
0.7295427666 1
 
7.1%
-1.605408991 1
 
7.1%
-0.2997385766 1
 
7.1%
0.801857332 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.605408991 1
7.1%
-0.350865307 1
7.1%
-0.2997385766 1
7.1%
-0.2250059034 1
7.1%
-0.05011917568 1
7.1%
ValueCountFrequency (%)
1.601238227 1
7.1%
1.230161313 1
7.1%
0.9280977766 1
7.1%
0.801857332 1
7.1%
0.7295427666 1
7.1%

monthspindx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01024037654
Minimum-1.846772434
Maximum2.020401964
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:57:46.292003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.846772434
5-th percentile-1.442578135
Q1-0.6029308616
median-0.3767583376
Q31.101877443
95-th percentile1.478292505
Maximum2.020401964
Range3.867174398
Interquartile range (IQR)1.704808305

Descriptive statistics

Standard deviation1.112987276
Coefficient of variation (CV)108.6861671
Kurtosis-0.8116956904
Mean0.01024037654
Median Absolute Deviation (MAD)0.7003752846
Skewness0.2593521025
Sum0.1433652716
Variance1.238740677
MonotonicityNot monotonic
2025-03-30T10:57:46.751247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4158673414 1
 
7.1%
1.125678784 1
 
7.1%
-0.03095064793 1
 
7.1%
1.03047342 1
 
7.1%
-0.6150180113 1
 
7.1%
1.186387412 1
 
7.1%
-0.3988924923 1
 
7.1%
2.020401964 1
 
7.1%
-1.22493505 1
 
7.1%
-0.3546241829 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.846772434 1
7.1%
-1.22493505 1
7.1%
-0.9293321941 1
7.1%
-0.6150180113 1
7.1%
-0.5666694125 1
7.1%
ValueCountFrequency (%)
2.020401964 1
7.1%
1.186387412 1
7.1%
1.163485458 1
7.1%
1.125678784 1
7.1%
1.03047342 1
7.1%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09137987093
Minimum-2.02666213
Maximum2.368559128
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:57:47.195486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.02666213
5-th percentile-1.825897601
Q1-1.206289191
median-0.1326484638
Q30.9890051245
95-th percentile1.848656552
Maximum2.368559128
Range4.395221258
Interquartile range (IQR)2.195294316

Descriptive statistics

Standard deviation1.34969814
Coefficient of variation (CV)-14.77019092
Kurtosis-0.9187340833
Mean-0.09137987093
Median Absolute Deviation (MAD)1.19399631
Skewness0.2592363281
Sum-1.279318193
Variance1.821685068
MonotonicityNot monotonic
2025-03-30T10:57:47.593529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.215753374 1
 
7.1%
-1.717793624 1
 
7.1%
-1.177896643 1
 
7.1%
-0.08969562681 1
 
7.1%
1.172239247 1
 
7.1%
2.368559128 1
 
7.1%
-2.02666213 1
 
7.1%
-0.1756013007 1
 
7.1%
-0.2747474952 1
 
7.1%
0.07661610546 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.02666213 1
7.1%
-1.717793624 1
7.1%
-1.543537812 1
7.1%
-1.215753374 1
7.1%
-1.177896643 1
7.1%
ValueCountFrequency (%)
2.368559128 1
7.1%
1.568709011 1
7.1%
1.316943563 1
7.1%
1.172239247 1
7.1%
0.4393027577 1
7.1%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1115900675
Minimum-1.626217715
Maximum0.9481768254
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:57:48.007030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.626217715
5-th percentile-1.291732663
Q1-0.4558309425
median-0.2292096748
Q30.4985448913
95-th percentile0.8212310793
Maximum0.9481768254
Range2.57439454
Interquartile range (IQR)0.9543758338

Descriptive statistics

Standard deviation0.7336162602
Coefficient of variation (CV)-6.574207512
Kurtosis-0.1628127052
Mean-0.1115900675
Median Absolute Deviation (MAD)0.5287317329
Skewness-0.4493165262
Sum-1.562260945
Variance0.5381928173
MonotonicityNot monotonic
2025-03-30T10:57:48.445392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.476300641 1
 
7.1%
-1.626217715 1
 
7.1%
-0.5526279949 1
 
7.1%
0.115151799 1
 
7.1%
0.5034290826 1
 
7.1%
-0.3944218471 1
 
7.1%
0.4838923172 1
 
7.1%
0.618028711 1
 
7.1%
-1.111625328 1
 
7.1%
-0.1388625872 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.626217715 1
7.1%
-1.111625328 1
7.1%
-0.5526279949 1
7.1%
-0.476300641 1
7.1%
-0.3944218471 1
7.1%
ValueCountFrequency (%)
0.9481768254 1
7.1%
0.7528756776 1
7.1%
0.618028711 1
7.1%
0.5034290826 1
7.1%
0.4838923172 1
7.1%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2423942067
Minimum-1.649082334
Maximum1.261820413
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)21.4%
Memory size224.0 B
2025-03-30T10:57:48.846499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.649082334
5-th percentile-0.9330475489
Q10.1649610142
median0.3016198339
Q30.6619729475
95-th percentile1.121364981
Maximum1.261820413
Range2.910902747
Interquartile range (IQR)0.4970119333

Descriptive statistics

Standard deviation0.7469034236
Coefficient of variation (CV)3.081358395
Kurtosis2.151460995
Mean0.2423942067
Median Absolute Deviation (MAD)0.3296267351
Skewness-1.234754102
Sum3.393518894
Variance0.5578647242
MonotonicityNot monotonic
2025-03-30T10:57:49.279549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.8748344383 1
 
7.1%
0.3251336486 1
 
7.1%
1.261820413 1
 
7.1%
0.2781060191 1
 
7.1%
0.4775537161 1
 
7.1%
0.692699326 1
 
7.1%
0.5697938119 1
 
7.1%
-0.547490357 1
 
7.1%
0.1635733356 1
 
7.1%
-0.5198533915 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.649082334 1
7.1%
-0.547490357 1
7.1%
-0.5198533915 1
7.1%
0.1635733356 1
7.1%
0.1691240501 1
7.1%
ValueCountFrequency (%)
1.261820413 1
7.1%
1.045735133 1
7.1%
0.8748344383 1
7.1%
0.692699326 1
7.1%
0.5697938119 1
7.1%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.324769207
Minimum-1.740981857
Maximum1.374309513
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:57:49.669324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.740981857
5-th percentile-1.647856398
Q1-0.7189175772
median-0.5052830362
Q30.2355591346
95-th percentile1.036407737
Maximum1.374309513
Range3.115291371
Interquartile range (IQR)0.9544767118

Descriptive statistics

Standard deviation0.8864368216
Coefficient of variation (CV)-2.729436173
Kurtosis-0.2907721619
Mean-0.324769207
Median Absolute Deviation (MAD)0.5919376214
Skewness0.2627117144
Sum-4.546768899
Variance0.7857702386
MonotonicityNot monotonic
2025-03-30T10:57:50.086812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.02243538 1
 
7.1%
0.1614398633 1
 
7.1%
0.5227779505 1
 
7.1%
-0.6863190756 1
 
7.1%
0.2602655584 1
 
7.1%
-0.7221813079 1
 
7.1%
-1.59771192 1
 
7.1%
-0.4120724557 1
 
7.1%
-0.2307004132 1
 
7.1%
1.374309513 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.740981857 1
7.1%
-1.59771192 1
7.1%
-1.02243538 1
7.1%
-0.7221813079 1
7.1%
-0.7091263849 1
7.1%
ValueCountFrequency (%)
1.374309513 1
7.1%
0.8544606268 1
7.1%
0.5227779505 1
7.1%
0.2602655584 1
7.1%
0.1614398633 1
7.1%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06636831042
Minimum-1.19359691
Maximum1.22775226
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:57:51.007519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.19359691
5-th percentile-1.117588526
Q1-0.5724835919
median-0.2058514227
Q30.4370171727
95-th percentile1.062983735
Maximum1.22775226
Range2.42134917
Interquartile range (IQR)1.009500765

Descriptive statistics

Standard deviation0.7744246346
Coefficient of variation (CV)-11.66859047
Kurtosis-1.031443504
Mean-0.06636831042
Median Absolute Deviation (MAD)0.4854850541
Skewness0.2879283454
Sum-0.9291563459
Variance0.5997335146
MonotonicityNot monotonic
2025-03-30T10:57:51.380786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5928279374 1
 
7.1%
-0.3840321779 1
 
7.1%
-1.19359691 1
 
7.1%
-0.4582165193 1
 
7.1%
1.22775226 1
 
7.1%
-1.076660935 1
 
7.1%
0.1884160083 1
 
7.1%
0.9621993546 1
 
7.1%
-0.02767066759 1
 
7.1%
0.9742622221 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.19359691 1
7.1%
-1.076660935 1
7.1%
-0.7604000743 1
7.1%
-0.5928279374 1
7.1%
-0.5114505556 1
7.1%
ValueCountFrequency (%)
1.22775226 1
7.1%
0.9742622221 1
7.1%
0.9621993546 1
7.1%
0.5124995522 1
7.1%
0.210570034 1
7.1%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05229195985
Minimum-1.376691541
Maximum1.675547394
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:57:51.748338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.376691541
5-th percentile-1.334234311
Q1-0.9263179882
median0.1579238911
Q30.6768109047
95-th percentile1.14035
Maximum1.675547394
Range3.052238934
Interquartile range (IQR)1.603128893

Descriptive statistics

Standard deviation0.9603967123
Coefficient of variation (CV)-18.3660493
Kurtosis-1.059135315
Mean-0.05229195985
Median Absolute Deviation (MAD)0.676595393
Skewness0.003155804063
Sum-0.7320874379
Variance0.922361845
MonotonicityNot monotonic
2025-03-30T10:57:52.159762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.241318998 1
 
7.1%
0.8521667883 1
 
7.1%
0.2050266871 1
 
7.1%
0.81687178 1
 
7.1%
-0.8750254077 1
 
7.1%
-0.2197403034 1
 
7.1%
0.1108210951 1
 
7.1%
0.553272689 1
 
7.1%
-1.311372725 1
 
7.1%
-0.943415515 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.376691541 1
7.1%
-1.311372725 1
7.1%
-1.241318998 1
7.1%
-0.943415515 1
7.1%
-0.8750254077 1
7.1%
ValueCountFrequency (%)
1.675547394 1
7.1%
0.8521667883 1
7.1%
0.81687178 1
7.1%
0.7179903099 1
7.1%
0.553272689 1
7.1%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3540618458
Minimum-1.380543345
Maximum2.033305299
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:52.568048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.380543345
5-th percentile-1.01047876
Q1-0.2866743229
median0.3286612065
Q31.02081807
95-th percentile1.900242703
Maximum2.033305299
Range3.413848644
Interquartile range (IQR)1.307492393

Descriptive statistics

Standard deviation1.029937324
Coefficient of variation (CV)2.908919265
Kurtosis-0.9704298831
Mean0.3540618458
Median Absolute Deviation (MAD)0.676060508
Skewness0.04190906332
Sum4.956865841
Variance1.060770892
MonotonicityNot monotonic
2025-03-30T10:57:52.977791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.693855763 1
 
7.1%
-0.2392967768 1
 
7.1%
2.033305299 1
 
7.1%
0.9267209978 1
 
7.1%
-0.2177309845 1
 
7.1%
-0.3024668382 1
 
7.1%
-0.03653334992 1
 
7.1%
1.828593613 1
 
7.1%
1.20766545 1
 
7.1%
-0.7294546961 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.380543345 1
7.1%
-0.8112132139 1
7.1%
-0.7294546961 1
7.1%
-0.3024668382 1
7.1%
-0.2392967768 1
7.1%
ValueCountFrequency (%)
2.033305299 1
7.1%
1.828593613 1
7.1%
1.20766545 1
7.1%
1.049654178 1
7.1%
0.9343097459 1
7.1%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3929904857
Minimum-0.9518504747
Maximum2.543667895
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:57:53.400470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9518504747
5-th percentile-0.6612875333
Q1-0.2852672844
median0.2886091677
Q30.738127425
95-th percentile2.354660237
Maximum2.543667895
Range3.49551837
Interquartile range (IQR)1.023394709

Descriptive statistics

Standard deviation0.9979978626
Coefficient of variation (CV)2.539496245
Kurtosis0.8735810758
Mean0.3929904857
Median Absolute Deviation (MAD)0.5156273343
Skewness1.091857326
Sum5.501866799
Variance0.9959997337
MonotonicityNot monotonic
2025-03-30T10:57:53.823871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.543667895 1
 
7.1%
0.2770627504 1
 
7.1%
-0.2354156219 1
 
7.1%
-0.3018845052 1
 
7.1%
0.300155585 1
 
7.1%
-0.9518504747 1
 
7.1%
-0.3772782059 1
 
7.1%
0.5693594462 1
 
7.1%
-0.2186207112 1
 
7.1%
0.794383418 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9518504747 1
7.1%
-0.5048305648 1
7.1%
-0.3772782059 1
7.1%
-0.3018845052 1
7.1%
-0.2354156219 1
7.1%
ValueCountFrequency (%)
2.543667895 1
7.1%
2.252886882 1
7.1%
0.7950716168 1
7.1%
0.794383418 1
7.1%
0.5693594462 1
7.1%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1530742852
Minimum-1.140779409
Maximum1.118015655
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:57:54.276471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.140779409
5-th percentile-1.035593703
Q1-0.64463614
median-0.1156392611
Q30.1270737076
95-th percentile0.9877098634
Maximum1.118015655
Range2.258795063
Interquartile range (IQR)0.7717098476

Descriptive statistics

Standard deviation0.6502412253
Coefficient of variation (CV)-4.2478802
Kurtosis-0.01581974405
Mean-0.1530742852
Median Absolute Deviation (MAD)0.3314739811
Skewness0.4686974685
Sum-2.143039993
Variance0.4228136511
MonotonicityNot monotonic
2025-03-30T10:57:54.706354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.06322345648 1
 
7.1%
-0.01978531521 1
 
7.1%
-0.4695521791 1
 
7.1%
-0.7029974603 1
 
7.1%
-0.9789552461 1
 
7.1%
0.1933957832 1
 
7.1%
0.1139196281 1
 
7.1%
-1.140779409 1
 
7.1%
0.9175452067 1
 
7.1%
-0.3353957228 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.140779409 1
7.1%
-0.9789552461 1
7.1%
-0.738630812 1
7.1%
-0.7029974603 1
7.1%
-0.4695521791 1
7.1%
ValueCountFrequency (%)
1.118015655 1
7.1%
0.9175452067 1
7.1%
0.1933957832 1
7.1%
0.1314584008 1
7.1%
0.1139196281 1
7.1%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2332118481
Minimum-2.097895441
Maximum1.664440254
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:55.114994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.097895441
5-th percentile-1.985390995
Q1-1.011677201
median0.04363533062
Q30.3332342658
95-th percentile1.208561938
Maximum1.664440254
Range3.762335695
Interquartile range (IQR)1.344911466

Descriptive statistics

Standard deviation1.074052817
Coefficient of variation (CV)-4.605481349
Kurtosis-0.3165401826
Mean-0.2332118481
Median Absolute Deviation (MAD)0.4309026915
Skewness-0.327723256
Sum-3.264965874
Variance1.153589453
MonotonicityNot monotonic
2025-03-30T10:57:55.529380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.0782706638 1
 
7.1%
0.4181870785 1
 
7.1%
-0.4436183045 1
 
7.1%
0.0949998835 1
 
7.1%
-1.201030166 1
 
7.1%
1.664440254 1
 
7.1%
-2.097895441 1
 
7.1%
-1.924811678 1
 
7.1%
0.1874198805 1
 
7.1%
0.3818390608 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.097895441 1
7.1%
-1.924811678 1
7.1%
-1.384646621 1
7.1%
-1.201030166 1
7.1%
-0.4436183045 1
7.1%
ValueCountFrequency (%)
1.664440254 1
7.1%
0.9630889982 1
7.1%
0.4181870785 1
7.1%
0.3818390608 1
7.1%
0.1874198805 1
7.1%

monthtotval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3499429703
Minimum-1.738180472
Maximum2.241134569
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:57:55.988763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.738180472
5-th percentile-1.148029038
Q1-0.3924724028
median0.3619919269
Q30.9459166098
95-th percentile2.006679944
Maximum2.241134569
Range3.979315041
Interquartile range (IQR)1.338389013

Descriptive statistics

Standard deviation1.109809374
Coefficient of variation (CV)3.171400679
Kurtosis-0.3608442836
Mean0.3499429703
Median Absolute Deviation (MAD)0.7366552965
Skewness-0.0681622734
Sum4.899201585
Variance1.231676846
MonotonicityNot monotonic
2025-03-30T10:57:56.420473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.425936581 1
 
7.1%
0.9750510953 1
 
7.1%
1.880435146 1
 
7.1%
-0.3390453032 1
 
7.1%
-1.738180472 1
 
7.1%
0.7068174293 1
 
7.1%
0.2090692301 1
 
7.1%
0.8585131534 1
 
7.1%
0.3417289147 1
 
7.1%
-0.830255189 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.738180472 1
7.1%
-0.830255189 1
7.1%
-0.8039770736 1
7.1%
-0.410281436 1
7.1%
-0.3390453032 1
7.1%
ValueCountFrequency (%)
2.241134569 1
7.1%
1.880435146 1
7.1%
1.425936581 1
7.1%
0.9750510953 1
7.1%
0.8585131534 1
7.1%

monthtotcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02881420114
Minimum-1.570993356
Maximum0.7685171141
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:57:56.872301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.570993356
5-th percentile-1.166336842
Q1-0.3589105285
median0.176401223
Q30.4316386881
95-th percentile0.6822051885
Maximum0.7685171141
Range2.33951047
Interquartile range (IQR)0.7905492167

Descriptive statistics

Standard deviation0.6722124297
Coefficient of variation (CV)-23.32920585
Kurtosis0.5955183809
Mean-0.02881420114
Median Absolute Deviation (MAD)0.4363245915
Skewness-1.0356287
Sum-0.4033988159
Variance0.4518695506
MonotonicityNot monotonic
2025-03-30T10:57:57.315310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2863918735 1
 
7.1%
0.1543171266 1
 
7.1%
0.5897220927 1
 
7.1%
-0.9484448728 1
 
7.1%
0.7685171141 1
 
7.1%
0.2978949165 1
 
7.1%
0.6357295362 1
 
7.1%
-0.6708360367 1
 
7.1%
0.3777276623 1
 
7.1%
-0.3830834136 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.570993356 1
7.1%
-0.9484448728 1
7.1%
-0.6708360367 1
7.1%
-0.3830834136 1
7.1%
-0.2863918735 1
7.1%
ValueCountFrequency (%)
0.7685171141 1
7.1%
0.6357295362 1
7.1%
0.5897220927 1
7.1%
0.4496090301 1
7.1%
0.3777276623 1
7.1%

monthusdval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1949318823
Minimum-1.405754731
Maximum2.000367512
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:57:57.689630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.405754731
5-th percentile-1.097338083
Q1-0.1644874142
median0.01357155691
Q30.627887804
95-th percentile1.432158686
Maximum2.000367512
Range3.406122242
Interquartile range (IQR)0.7923752183

Descriptive statistics

Standard deviation0.8642694633
Coefficient of variation (CV)4.433699881
Kurtosis0.5939562126
Mean0.1949318823
Median Absolute Deviation (MAD)0.456830358
Skewness0.2274538876
Sum2.729046352
Variance0.7469617051
MonotonicityNot monotonic
2025-03-30T10:57:58.134500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1076950056 1
 
7.1%
-0.1126238293 1
 
7.1%
-0.08055189182 1
 
7.1%
0.401825854 1
 
7.1%
2.000367512 1
 
7.1%
1.126200087 1
 
7.1%
0.6575244135 1
 
7.1%
-0.1817752759 1
 
7.1%
0.5389779757 1
 
7.1%
-0.3165583523 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.405754731 1
7.1%
-0.9312675797 1
7.1%
-0.3165583523 1
7.1%
-0.1817752759 1
7.1%
-0.1126238293 1
7.1%
ValueCountFrequency (%)
2.000367512 1
7.1%
1.126200087 1
7.1%
1.033963256 1
7.1%
0.6575244135 1
7.1%
0.5389779757 1
7.1%

monthusdcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04452446202
Minimum-1.395333726
Maximum1.396848202
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:57:58.524364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.395333726
5-th percentile-1.242932603
Q1-0.6292935385
median0.07528626591
Q30.5400770665
95-th percentile1.366227565
Maximum1.396848202
Range2.792181928
Interquartile range (IQR)1.169370605

Descriptive statistics

Standard deviation0.9035067471
Coefficient of variation (CV)20.29236752
Kurtosis-0.9544477094
Mean0.04452446202
Median Absolute Deviation (MAD)0.6602502019
Skewness0.08209983106
Sum0.6233424683
Variance0.8163244421
MonotonicityNot monotonic
2025-03-30T10:57:58.920120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3684836033 1
 
7.1%
1.396848202 1
 
7.1%
-0.8240588415 1
 
7.1%
-1.395333726 1
 
7.1%
0.1440930476 1
 
7.1%
0.306409855 1
 
7.1%
1.34973953 1
 
7.1%
0.006479484221 1
 
7.1%
-0.496304731 1
 
7.1%
0.5972748876 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.395333726 1
7.1%
-1.16087046 1
7.1%
-0.8240588415 1
7.1%
-0.673623141 1
7.1%
-0.496304731 1
7.1%
ValueCountFrequency (%)
1.396848202 1
7.1%
1.34973953 1
7.1%
1.237572047 1
7.1%
0.5972748876 1
7.1%
0.3684836033 1
7.1%

monthprtcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3627622329
Minimum-0.7230877296
Maximum3.260491081
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:57:59.327124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7230877296
5-th percentile-0.6161152877
Q1-0.2408811671
median0.1948339838
Q30.4852850638
95-th percentile1.829834223
Maximum3.260491081
Range3.98357881
Interquartile range (IQR)0.7261662308

Descriptive statistics

Standard deviation0.9922550518
Coefficient of variation (CV)2.735276614
Kurtosis5.443300135
Mean0.3627622329
Median Absolute Deviation (MAD)0.4344470922
Skewness2.035615933
Sum5.07867126
Variance0.9845700879
MonotonicityNot monotonic
2025-03-30T10:57:59.739792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.473372504 1
 
7.1%
0.489255917 1
 
7.1%
-0.7230877296 1
 
7.1%
-0.5585147421 1
 
7.1%
0.2971273521 1
 
7.1%
1.05948053 1
 
7.1%
-0.2421492258 1
 
7.1%
-0.2706205795 1
 
7.1%
0.09254061549 1
 
7.1%
-0.2370769909 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.7230877296 1
7.1%
-0.5585147421 1
7.1%
-0.2706205795 1
7.1%
-0.2421492258 1
7.1%
-0.2370769909 1
7.1%
ValueCountFrequency (%)
3.260491081 1
7.1%
1.05948053 1
7.1%
1.054666579 1
7.1%
0.489255917 1
7.1%
0.473372504 1
7.1%

monthtotret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.189327569
Minimum-0.8666196087
Maximum1.073377922
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:00.152402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8666196087
5-th percentile-0.6303684139
Q1-0.263696563
median0.3079718155
Q30.5539785114
95-th percentile0.9707033366
Maximum1.073377922
Range1.939997531
Interquartile range (IQR)0.8176750744

Descriptive statistics

Standard deviation0.5610548622
Coefficient of variation (CV)2.963408157
Kurtosis-0.5584424269
Mean0.189327569
Median Absolute Deviation (MAD)0.3387913766
Skewness-0.3280458437
Sum2.650585965
Variance0.3147825584
MonotonicityNot monotonic
2025-03-30T10:58:00.593025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3966300046 1
 
7.1%
-0.8666196087 1
 
7.1%
0.6064280137 1
 
7.1%
0.2178318795 1
 
7.1%
-0.3375282858 1
 
7.1%
0.2585219147 1
 
7.1%
-0.5031562321 1
 
7.1%
-0.04220139431 1
 
7.1%
-0.4249853734 1
 
7.1%
0.3640670286 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8666196087 1
7.1%
-0.5031562321 1
7.1%
-0.4249853734 1
7.1%
-0.3375282858 1
7.1%
-0.04220139431 1
7.1%
ValueCountFrequency (%)
1.073377922 1
7.1%
0.9154170212 1
7.1%
0.6353813588 1
7.1%
0.6064280137 1
7.1%
0.3966300046 1
7.1%

monthtotind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2281084101
Minimum-1.563689685
Maximum1.505415601
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:58:01.008454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.563689685
5-th percentile-1.513993404
Q1-0.03021809302
median0.3024092364
Q30.8671683543
95-th percentile1.473996567
Maximum1.505415601
Range3.069105286
Interquartile range (IQR)0.8973864473

Descriptive statistics

Standard deviation0.9359499034
Coefficient of variation (CV)4.103092485
Kurtosis0.1587525092
Mean0.2281084101
Median Absolute Deviation (MAD)0.5368529722
Skewness-0.6988290146
Sum3.193517742
Variance0.8760022217
MonotonicityNot monotonic
2025-03-30T10:58:01.404764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.044191089 1
 
7.1%
-0.09361240928 1
 
7.1%
1.457078626 1
 
7.1%
0.2489290953 1
 
7.1%
1.505415601 1
 
7.1%
0.3792808718 1
 
7.1%
0.2404248768 1
 
7.1%
0.1599648558 1
 
7.1%
0.5283928119 1
 
7.1%
-1.487233868 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.563689685 1
7.1%
-1.487233868 1
7.1%
-0.561607035 1
7.1%
-0.09361240928 1
7.1%
0.1599648558 1
7.1%
ValueCountFrequency (%)
1.505415601 1
7.1%
1.457078626 1
7.1%
1.044191089 1
7.1%
0.9800935351 1
7.1%
0.5283928119 1
7.1%

monthcapret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5230466476
Minimum-2.928951365
Maximum0.8342284066
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:01.802231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.928951365
5-th percentile-2.357859387
Q1-1.154526546
median-0.2347664581
Q30.3853344273
95-th percentile0.7664224127
Maximum0.8342284066
Range3.763179771
Interquartile range (IQR)1.539860973

Descriptive statistics

Standard deviation1.164316345
Coefficient of variation (CV)-2.226027736
Kurtosis-0.3472752403
Mean-0.5230466476
Median Absolute Deviation (MAD)0.661408786
Skewness-0.7986123492
Sum-7.322653066
Variance1.355632551
MonotonicityNot monotonic
2025-03-30T10:58:02.255268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.6694756251 1
 
7.1%
-0.1691511757 1
 
7.1%
0.4086652834 1
 
7.1%
-2.928951365 1
 
7.1%
-2.050348322 1
 
7.1%
0.4446193724 1
 
7.1%
-0.3003817405 1
 
7.1%
0.8342284066 1
 
7.1%
0.1933731738 1
 
7.1%
-0.8638645659 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.928951365 1
7.1%
-2.050348322 1
7.1%
-2.015205988 1
7.1%
-1.251413872 1
7.1%
-0.8638645659 1
7.1%
ValueCountFrequency (%)
0.8342284066 1
7.1%
0.7299114929 1
7.1%
0.4446193724 1
7.1%
0.4086652834 1
7.1%
0.3153418589 1
7.1%

monthcapind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3241967279
Minimum-2.039431498
Maximum1.873020624
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)21.4%
Memory size224.0 B
2025-03-30T10:58:02.727730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.039431498
5-th percentile-1.445760765
Q10.1316912047
median0.4695103911
Q30.8208769403
95-th percentile1.547433169
Maximum1.873020624
Range3.912452122
Interquartile range (IQR)0.6891857356

Descriptive statistics

Standard deviation0.9814238472
Coefficient of variation (CV)3.027247849
Kurtosis1.825674766
Mean0.3241967279
Median Absolute Deviation (MAD)0.3583321034
Skewness-1.037482216
Sum4.538754191
Variance0.9631927678
MonotonicityNot monotonic
2025-03-30T10:58:03.228732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.1116023308 1
 
7.1%
0.3643195206 1
 
7.1%
-1.126091909 1
 
7.1%
-2.039431498 1
 
7.1%
0.1705318604 1
 
7.1%
0.847118319 1
 
7.1%
1.873020624 1
 
7.1%
0.1354024825 1
 
7.1%
0.1304541121 1
 
7.1%
0.5747012617 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.039431498 1
7.1%
-1.126091909 1
7.1%
-0.1116023308 1
7.1%
0.1304541121 1
7.1%
0.1354024825 1
7.1%
ValueCountFrequency (%)
1.873020624 1
7.1%
1.372116847 1
7.1%
0.9988166448 1
7.1%
0.847118319 1
7.1%
0.7421528044 1
7.1%

monthincret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2446699199
Minimum-0.5555421616
Maximum1.564619741
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:03.736505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5555421616
5-th percentile-0.4743210207
Q1-0.2758945946
median0.184066364
Q30.4578179271
95-th percentile1.282756167
Maximum1.564619741
Range2.120161903
Interquartile range (IQR)0.7337125218

Descriptive statistics

Standard deviation0.6444287076
Coefficient of variation (CV)2.633869777
Kurtosis-0.319447553
Mean0.2446699199
Median Absolute Deviation (MAD)0.4320957718
Skewness0.7000388678
Sum3.425378879
Variance0.4152883592
MonotonicityNot monotonic
2025-03-30T10:58:04.207861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.130983473 1
 
7.1%
-0.192299034 1
 
7.1%
0.4626661368 1
 
7.1%
1.564619741 1
 
7.1%
-0.3037597815 1
 
7.1%
-0.07537961242 1
 
7.1%
-0.4305865602 1
 
7.1%
-0.5555421616 1
 
7.1%
0.443273298 1
 
7.1%
0.07698841972 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.5555421616 1
7.1%
-0.4305865602 1
7.1%
-0.4161518559 1
7.1%
-0.3037597815 1
7.1%
-0.192299034 1
7.1%
ValueCountFrequency (%)
1.564619741 1
7.1%
1.130983473 1
7.1%
1.018573303 1
7.1%
0.4626661368 1
7.1%
0.443273298 1
7.1%

monthincind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2908176937
Minimum-2.256132307
Maximum1.152031403
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:04.677865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.256132307
5-th percentile-1.71997986
Q1-0.8378015523
median-0.1989485129
Q30.2952359666
95-th percentile0.9963251942
Maximum1.152031403
Range3.40816371
Interquartile range (IQR)1.133037519

Descriptive statistics

Standard deviation0.9517711562
Coefficient of variation (CV)-3.272741573
Kurtosis-0.2074196667
Mean-0.2908176937
Median Absolute Deviation (MAD)0.5988827483
Skewness-0.4329257513
Sum-4.071447711
Variance0.9058683337
MonotonicityNot monotonic
2025-03-30T10:58:05.173689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.152031403 1
 
7.1%
0.2661922482 1
 
7.1%
0.4773506397 1
 
7.1%
-0.4675993405 1
 
7.1%
-1.431282388 1
 
7.1%
-0.7204148568 1
 
7.1%
0.06970231473 1
 
7.1%
0.9124833895 1
 
7.1%
0.2999074384 1
 
7.1%
0.2812215515 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.256132307 1
7.1%
-1.431282388 1
7.1%
-1.114783905 1
7.1%
-0.8769304508 1
7.1%
-0.7204148568 1
7.1%
ValueCountFrequency (%)
1.152031403 1
7.1%
0.9124833895 1
7.1%
0.4773506397 1
7.1%
0.2999074384 1
7.1%
0.2812215515 1
7.1%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07331602176
Minimum-1.736816409
Maximum1.767829058
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:05.649943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.736816409
5-th percentile-1.326302417
Q1-0.958721754
median-0.08368086094
Q30.331853114
95-th percentile1.635515358
Maximum1.767829058
Range3.504645467
Interquartile range (IQR)1.290574868

Descriptive statistics

Standard deviation1.060740647
Coefficient of variation (CV)-14.46806062
Kurtosis-0.73241591
Mean-0.07331602176
Median Absolute Deviation (MAD)0.8261619524
Skewness0.3637277746
Sum-1.026424305
Variance1.12517072
MonotonicityNot monotonic
2025-03-30T10:58:06.106170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3023113051 1
 
7.1%
1.193170865 1
 
7.1%
0.301918263 1
 
7.1%
-0.6239293008 1
 
7.1%
-0.8120849319 1
 
7.1%
1.564269519 1
 
7.1%
-1.105256421 1
 
7.1%
-1.007600695 1
 
7.1%
1.767829058 1
 
7.1%
0.3417003836 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.736816409 1
7.1%
-1.105256421 1
7.1%
-1.04457422 1
7.1%
-1.007600695 1
7.1%
-0.8120849319 1
7.1%
ValueCountFrequency (%)
1.767829058 1
7.1%
1.564269519 1
7.1%
1.193170865 1
7.1%
0.3417003836 1
7.1%
0.3023113051 1
7.1%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5339831465
Minimum-3.239437725
Maximum2.293977283
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:06.563753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.239437725
5-th percentile-3.205880663
Q1-1.531146039
median-0.3091510772
Q30.5479240652
95-th percentile1.620393294
Maximum2.293977283
Range5.533415008
Interquartile range (IQR)2.079070105

Descriptive statistics

Standard deviation1.621862752
Coefficient of variation (CV)-3.037292024
Kurtosis-0.4518022266
Mean-0.5339831465
Median Absolute Deviation (MAD)1.135358545
Skewness-0.211576412
Sum-7.475764051
Variance2.630438785
MonotonicityNot monotonic
2025-03-30T10:58:06.998824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7368017053 1
 
7.1%
-2.06469749 1
 
7.1%
0.01092448557 1
 
7.1%
-3.239437725 1
 
7.1%
-0.303638537 1
 
7.1%
2.293977283 1
 
7.1%
1.257694222 1
 
7.1%
-1.592143528 1
 
7.1%
0.1437880099 1
 
7.1%
-3.187811476 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.239437725 1
7.1%
-3.187811476 1
7.1%
-2.06469749 1
7.1%
-1.592143528 1
7.1%
-1.348153574 1
7.1%
ValueCountFrequency (%)
2.293977283 1
7.1%
1.257694222 1
7.1%
0.9225635168 1
7.1%
0.6826360836 1
7.1%
0.1437880099 1
7.1%

SPIndewretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4158543039
Minimum-1.709309645
Maximum1.418556686
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:58:07.459278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.709309645
5-th percentile-1.541477527
Q1-0.9672768654
median-0.4736460703
Q30.01515876977
95-th percentile0.9542393284
Maximum1.418556686
Range3.127866332
Interquartile range (IQR)0.9824356351

Descriptive statistics

Standard deviation0.8413360851
Coefficient of variation (CV)-2.023151083
Kurtosis0.4021280154
Mean-0.4158543039
Median Absolute Deviation (MAD)0.5117266228
Skewness0.6178578079
Sum-5.821960255
Variance0.7078464081
MonotonicityNot monotonic
2025-03-30T10:58:07.912641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4437355149 1
 
7.1%
1.418556686 1
 
7.1%
-0.9927651758 1
 
7.1%
0.7042222895 1
 
7.1%
-0.1702268916 1
 
7.1%
0.2031492016 1
 
7.1%
-1.451106387 1
 
7.1%
-0.9779802105 1
 
7.1%
-0.9351668298 1
 
7.1%
-1.709309645 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.709309645 1
7.1%
-1.451106387 1
7.1%
-0.9927651758 1
7.1%
-0.9779802105 1
7.1%
-0.9351668298 1
7.1%
ValueCountFrequency (%)
1.418556686 1
7.1%
0.7042222895 1
7.1%
0.2031492016 1
7.1%
0.07695399023 1
7.1%
-0.1702268916 1
7.1%

SPIndewretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07138706926
Minimum-2.649099543
Maximum1.781536682
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:08.418976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.649099543
5-th percentile-1.580633755
Q1-0.7095184506
median-0.1464924705
Q30.6655269969
95-th percentile1.546652864
Maximum1.781536682
Range4.430636225
Interquartile range (IQR)1.375045447

Descriptive statistics

Standard deviation1.159705726
Coefficient of variation (CV)-16.24531918
Kurtosis0.5697979902
Mean-0.07138706926
Median Absolute Deviation (MAD)0.6472820759
Skewness-0.3949606563
Sum-0.9994189697
Variance1.34491737
MonotonicityNot monotonic
2025-03-30T10:58:08.958574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2725158258 1
 
7.1%
-0.6525091404 1
 
7.1%
-0.6112693992 1
 
7.1%
1.152944552 1
 
7.1%
0.4271337287 1
 
7.1%
-0.8590275389 1
 
7.1%
1.420176963 1
 
7.1%
-2.649099543 1
 
7.1%
0.7449914196 1
 
7.1%
-0.728521554 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.649099543 1
7.1%
-1.005306023 1
7.1%
-0.8590275389 1
7.1%
-0.728521554 1
7.1%
-0.6525091404 1
7.1%
ValueCountFrequency (%)
1.781536682 1
7.1%
1.420176963 1
7.1%
1.152944552 1
7.1%
0.7449914196 1
7.1%
0.4271337287 1
7.1%

SPIndtotval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08755583277
Minimum-1.170971879
Maximum1.522980552
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:09.499654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.170971879
5-th percentile-1.042694464
Q1-0.7932761576
median-0.1993768534
Q30.3438465269
95-th percentile1.360931454
Maximum1.522980552
Range2.693952431
Interquartile range (IQR)1.137122684

Descriptive statistics

Standard deviation0.8297579379
Coefficient of variation (CV)-9.476900757
Kurtosis-0.373175151
Mean-0.08755583277
Median Absolute Deviation (MAD)0.6467053053
Skewness0.6312787458
Sum-1.225781659
Variance0.6884982355
MonotonicityNot monotonic
2025-03-30T10:58:10.059604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4040586175 1
 
7.1%
0.03956075825 1
 
7.1%
-0.9212451114 1
 
7.1%
0.6330949347 1
 
7.1%
1.522980552 1
 
7.1%
0.163210255 1
 
7.1%
-0.9736220096 1
 
7.1%
-0.8893519931 1
 
7.1%
-0.01529266096 1
 
7.1%
-1.170971879 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.170971879 1
7.1%
-0.9736220096 1
7.1%
-0.9212451114 1
7.1%
-0.8893519931 1
7.1%
-0.5050486512 1
7.1%
ValueCountFrequency (%)
1.522980552 1
7.1%
1.273674248 1
7.1%
0.6330949347 1
7.1%
0.4040586175 1
7.1%
0.163210255 1
7.1%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4032797426
Minimum-1.223196902
Maximum1.694511762
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:58:10.562580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.223196902
5-th percentile-0.7049289468
Q10.09101050394
median0.5098714154
Q30.753706855
95-th percentile1.229019576
Maximum1.694511762
Range2.917708663
Interquartile range (IQR)0.6626963511

Descriptive statistics

Standard deviation0.6994199845
Coefficient of variation (CV)1.734329575
Kurtosis1.573135708
Mean0.4032797426
Median Absolute Deviation (MAD)0.3381842655
Skewness-0.6722514945
Sum5.645916396
Variance0.4891883147
MonotonicityNot monotonic
2025-03-30T10:58:11.175283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.9159853559 1
 
7.1%
0.6744494024 1
 
7.1%
-0.1593354247 1
 
7.1%
0.4805987129 1
 
7.1%
0.408849019 1
 
7.1%
0.7801260059 1
 
7.1%
0.4071054154 1
 
7.1%
-0.01435446656 1
 
7.1%
0.5895250462 1
 
7.1%
-0.4258615864 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.223196902 1
7.1%
-0.4258615864 1
7.1%
-0.1593354247 1
7.1%
-0.01435446656 1
7.1%
0.4071054154 1
7.1%
ValueCountFrequency (%)
1.694511762 1
7.1%
0.9783699378 1
7.1%
0.9159853559 1
7.1%
0.7801260059 1
7.1%
0.6744494024 1
7.1%

SPIndusdval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03838649463
Minimum-1.247195604
Maximum1.851881892
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:11.822439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.247195604
5-th percentile-0.8937888346
Q1-0.521983933
median-0.1201161149
Q30.3165026722
95-th percentile1.152112899
Maximum1.851881892
Range3.099077496
Interquartile range (IQR)0.8384866052

Descriptive statistics

Standard deviation0.7509651981
Coefficient of variation (CV)-19.56326581
Kurtosis2.246708437
Mean-0.03838649463
Median Absolute Deviation (MAD)0.4813356274
Skewness1.059189744
Sum-0.5374109249
Variance0.5639487288
MonotonicityNot monotonic
2025-03-30T10:58:12.352197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.851881892 1
 
7.1%
0.1080007439 1
 
7.1%
-0.129245258 1
 
7.1%
0.4031912108 1
 
7.1%
0.7753142105 1
 
7.1%
-0.7034928817 1
 
7.1%
-0.3322577447 1
 
7.1%
-0.5852259958 1
 
7.1%
-0.28612359 1
 
7.1%
-0.1109869718 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.247195604 1
7.1%
-0.7034928817 1
7.1%
-0.6176774888 1
7.1%
-0.5852259958 1
7.1%
-0.3322577447 1
7.1%
ValueCountFrequency (%)
1.851881892 1
7.1%
0.7753142105 1
7.1%
0.4031912108 1
7.1%
0.386003315 1
7.1%
0.1080007439 1
7.1%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2885225548
Minimum-1.361472336
Maximum1.87557146
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:12.873518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.361472336
5-th percentile-1.105889638
Q1-0.6198364456
median0.1917240074
Q30.9205475978
95-th percentile1.708844524
Maximum1.87557146
Range3.237043796
Interquartile range (IQR)1.540384043

Descriptive statistics

Standard deviation1.036850663
Coefficient of variation (CV)3.593655491
Kurtosis-1.166883179
Mean0.2885225548
Median Absolute Deviation (MAD)0.8229132685
Skewness0.002061582819
Sum4.039315768
Variance1.075059298
MonotonicityNot monotonic
2025-03-30T10:58:13.417434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.9089598292 1
 
7.1%
1.579940108 1
 
7.1%
-1.361472336 1
 
7.1%
-0.8242711773 1
 
7.1%
0.9244101873 1
 
7.1%
0.1382171311 1
 
7.1%
0.1615645059 1
 
7.1%
-0.7214163497 1
 
7.1%
0.2218835088 1
 
7.1%
-0.315096733 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.361472336 1
7.1%
-0.9682681854 1
7.1%
-0.8242711773 1
7.1%
-0.7214163497 1
7.1%
-0.315096733 1
7.1%
ValueCountFrequency (%)
1.87557146 1
7.1%
1.619068481 1
7.1%
1.579940108 1
7.1%
0.9244101873 1
7.1%
0.9089598292 1
7.1%

SPIndspindx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1489120276
Minimum-1.749988549
Maximum0.8357540139
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:13.994986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.749988549
5-th percentile-1.318802357
Q1-0.5716023638
median-0.05085582223
Q30.3983008359
95-th percentile0.7709651355
Maximum0.8357540139
Range2.585742563
Interquartile range (IQR)0.9699031996

Descriptive statistics

Standard deviation0.735333048
Coefficient of variation (CV)-4.938036639
Kurtosis0.1702085461
Mean-0.1489120276
Median Absolute Deviation (MAD)0.5050953073
Skewness-0.7501514225
Sum-2.084768386
Variance0.5407146915
MonotonicityNot monotonic
2025-03-30T10:58:14.513308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.000710121566 1
 
7.1%
-1.749988549 1
 
7.1%
0.4508568665 1
 
7.1%
-0.6783067325 1
 
7.1%
-0.102421766 1
 
7.1%
-0.2514892575 1
 
7.1%
-0.1755174278 1
 
7.1%
0.4576221037 1
 
7.1%
0.7360788163 1
 
7.1%
0.8357540139 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.749988549 1
7.1%
-1.086625177 1
7.1%
-0.8961150284 1
7.1%
-0.6783067325 1
7.1%
-0.2514892575 1
7.1%
ValueCountFrequency (%)
0.8357540139 1
7.1%
0.7360788163 1
7.1%
0.4576221037 1
7.1%
0.4508568665 1
7.1%
0.240632744 1
7.1%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.287138428
Minimum-1.290351085
Maximum1.670991715
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:14.984056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.290351085
5-th percentile-0.9319851627
Q1-0.3626403583
median0.3245077442
Q30.9464880908
95-th percentile1.443398239
Maximum1.670991715
Range2.9613428
Interquartile range (IQR)1.309128449

Descriptive statistics

Standard deviation0.8720957664
Coefficient of variation (CV)3.037196284
Kurtosis-0.8030054406
Mean0.287138428
Median Absolute Deviation (MAD)0.708977406
Skewness-0.1899432432
Sum4.019937992
Variance0.7605510257
MonotonicityNot monotonic
2025-03-30T10:58:15.495864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.6949659913 1
 
7.1%
-0.4172921068 1
 
7.1%
-0.739018897 1
 
7.1%
0.5112532785 1
 
7.1%
1.320847906 1
 
7.1%
1.000662705 1
 
7.1%
-1.290351085 1
 
7.1%
1.199642033 1
 
7.1%
-0.1986851129 1
 
7.1%
0.2238738103 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.290351085 1
7.1%
-0.739018897 1
7.1%
-0.6949659913 1
7.1%
-0.4172921068 1
7.1%
-0.1986851129 1
7.1%
ValueCountFrequency (%)
1.670991715 1
7.1%
1.320847906 1
7.1%
1.199642033 1
7.1%
1.000662705 1
7.1%
0.7839642479 1
7.1%

SPporvwretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.268663057
Minimum-2.549423056
Maximum1.15923415
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:15.968055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.549423056
5-th percentile-1.934736906
Q1-0.587330197
median-0.07051587422
Q30.3493881699
95-th percentile1.011103553
Maximum1.15923415
Range3.708657206
Interquartile range (IQR)0.936718367

Descriptive statistics

Standard deviation0.9833752963
Coefficient of variation (CV)-3.660254995
Kurtosis1.031280639
Mean-0.268663057
Median Absolute Deviation (MAD)0.4822584377
Skewness-0.8726861146
Sum-3.761282798
Variance0.9670269734
MonotonicityNot monotonic
2025-03-30T10:58:16.485023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.9753802352 1
 
7.1%
-1.603752056 1
 
7.1%
0.3914883731 1
 
7.1%
-0.05186516681 1
 
7.1%
-0.5423083361 1
 
7.1%
0.2230875604 1
 
7.1%
-0.6016524022 1
 
7.1%
1.15923415 1
 
7.1%
-0.08916658163 1
 
7.1%
0.420153294 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.549423056 1
7.1%
-1.603752056 1
7.1%
-0.9753802352 1
7.1%
-0.6016524022 1
7.1%
-0.5443635815 1
7.1%
ValueCountFrequency (%)
1.15923415 1
7.1%
0.9313409232 1
7.1%
0.420153294 1
7.1%
0.3914883731 1
7.1%
0.2230875604 1
7.1%

SPporvwretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2620977528
Minimum-1.744242127
Maximum1.263766846
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:17.005543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.744242127
5-th percentile-1.640269275
Q1-0.8635323919
median-0.2805772187
Q30.198951413
95-th percentile1.184377158
Maximum1.263766846
Range3.008008973
Interquartile range (IQR)1.062483805

Descriptive statistics

Standard deviation0.9255684768
Coefficient of variation (CV)-3.531386541
Kurtosis-0.6551181737
Mean-0.2620977528
Median Absolute Deviation (MAD)0.5975721484
Skewness0.01545116263
Sum-3.669368539
Variance0.8566770053
MonotonicityNot monotonic
2025-03-30T10:58:17.547047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.141628864 1
 
7.1%
-1.275796155 1
 
7.1%
-1.744242127 1
 
7.1%
0.1178586522 1
 
7.1%
0.1469162766 1
 
7.1%
-0.5175860525 1
 
7.1%
-0.2657598187 1
 
7.1%
1.263766846 1
 
7.1%
-0.4696046565 1
 
7.1%
-1.584283893 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.744242127 1
7.1%
-1.584283893 1
7.1%
-1.275796155 1
7.1%
-0.9788478383 1
7.1%
-0.5175860525 1
7.1%
ValueCountFrequency (%)
1.263766846 1
7.1%
1.141628864 1
7.1%
0.5756795225 1
7.1%
0.2162964584 1
7.1%
0.1469162766 1
7.1%

SPporewretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3616481193
Minimum-1.497813457
Maximum1.958654768
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:18.044965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.497813457
5-th percentile-1.356103401
Q1-0.08621716206
median0.3770191337
Q31.072139632
95-th percentile1.849851461
Maximum1.958654768
Range3.456468225
Interquartile range (IQR)1.158356794

Descriptive statistics

Standard deviation1.050029414
Coefficient of variation (CV)2.903456034
Kurtosis-0.6382936975
Mean0.3616481193
Median Absolute Deviation (MAD)0.6845766135
Skewness-0.2895227814
Sum5.06307367
Variance1.102561771
MonotonicityNot monotonic
2025-03-30T10:58:18.569517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.958654768 1
 
7.1%
1.040507977 1
 
7.1%
-0.005367472393 1
 
7.1%
-0.08923866654 1
 
7.1%
1.082683517 1
 
7.1%
1.791265064 1
 
7.1%
-1.279797986 1
 
7.1%
-0.07715264861 1
 
7.1%
-1.497813457 1
 
7.1%
0.8811624684 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.497813457 1
7.1%
-1.279797986 1
7.1%
-0.6120562265 1
7.1%
-0.08923866654 1
7.1%
-0.07715264861 1
7.1%
ValueCountFrequency (%)
1.958654768 1
7.1%
1.791265064 1
7.1%
1.116188064 1
7.1%
1.082683517 1
7.1%
1.040507977 1
7.1%

SPporewretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5563182892
Minimum-0.8093274257
Maximum2.063247004
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:58:19.072434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8093274257
5-th percentile-0.6082980421
Q10.05270185059
median0.4430378164
Q31.07654661
95-th percentile1.976201463
Maximum2.063247004
Range2.87257443
Interquartile range (IQR)1.023844759

Descriptive statistics

Standard deviation0.8349598532
Coefficient of variation (CV)1.500867164
Kurtosis-0.2927637668
Mean0.5563182892
Median Absolute Deviation (MAD)0.5813788262
Skewness0.3188416039
Sum7.788456049
Variance0.6971579565
MonotonicityNot monotonic
2025-03-30T10:58:19.556545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.063247004 1
 
7.1%
0.2682749398 1
 
7.1%
-0.1816364643 1
 
7.1%
0.2646138441 1
 
7.1%
-0.01793548058 1
 
7.1%
1.929330787 1
 
7.1%
-0.8093274257 1
 
7.1%
1.108355084 1
 
7.1%
0.5657736997 1
 
7.1%
-0.500051451 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8093274257 1
7.1%
-0.500051451 1
7.1%
-0.1816364643 1
7.1%
-0.01793548058 1
7.1%
0.2646138441 1
7.1%
ValueCountFrequency (%)
2.063247004 1
7.1%
1.929330787 1
7.1%
1.13163812 1
7.1%
1.108355084 1
7.1%
0.981121188 1
7.1%

SPportotval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5382141245
Minimum-2.144040126
Maximum0.6122326868
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:58:20.007798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.144040126
5-th percentile-1.584089446
Q1-0.8937966047
median-0.6565832546
Q30.03589249938
95-th percentile0.3899155297
Maximum0.6122326868
Range2.756272812
Interquartile range (IQR)0.9296891041

Descriptive statistics

Standard deviation0.7289475128
Coefficient of variation (CV)-1.354381982
Kurtosis0.3713887916
Mean-0.5382141245
Median Absolute Deviation (MAD)0.4729352641
Skewness-0.4661151024
Sum-7.534997743
Variance0.5313644764
MonotonicityNot monotonic
2025-03-30T10:58:20.463579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-2.144040126 1
 
7.1%
-1.282577542 1
 
7.1%
-0.7649717534 1
 
7.1%
0.2702062912 1
 
7.1%
-0.8965651774 1
 
7.1%
-1.051552686 1
 
7.1%
-0.2144118617 1
 
7.1%
-0.8854908866 1
 
7.1%
0.6122326868 1
 
7.1%
0.1894059008 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.144040126 1
7.1%
-1.282577542 1
7.1%
-1.051552686 1
7.1%
-0.8965651774 1
7.1%
-0.8854908866 1
7.1%
ValueCountFrequency (%)
0.6122326868 1
7.1%
0.2702062912 1
7.1%
0.1894059008 1
7.1%
0.09881803893 1
7.1%
-0.1528841193 1
7.1%

SPportotcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1397125554
Minimum-1.934306757
Maximum1.693937067
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:20.912122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.934306757
5-th percentile-1.60728491
Q1-0.9369498251
median-0.09570780408
Q30.3912615808
95-th percentile1.666320363
Maximum1.693937067
Range3.628243825
Interquartile range (IQR)1.328211406

Descriptive statistics

Standard deviation1.050761753
Coefficient of variation (CV)-7.520882785
Kurtosis-0.1638387272
Mean-0.1397125554
Median Absolute Deviation (MAD)0.593586961
Skewness0.2206629958
Sum-1.955975775
Variance1.104100261
MonotonicityNot monotonic
2025-03-30T10:58:21.396067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1603164288 1
 
7.1%
-1.934306757 1
 
7.1%
1.65144983 1
 
7.1%
0.08114251896 1
 
7.1%
-1.064933289 1
 
7.1%
-0.2877229739 1
 
7.1%
0.5275150158 1
 
7.1%
-1.07600565 1
 
7.1%
-0.1712389565 1
 
7.1%
-1.431196223 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.934306757 1
7.1%
-1.431196223 1
7.1%
-1.07600565 1
7.1%
-1.064933289 1
7.1%
-0.5529994328 1
7.1%
ValueCountFrequency (%)
1.693937067 1
7.1%
1.65144983 1
7.1%
0.5275150158 1
7.1%
0.4682432981 1
7.1%
0.1603164288 1
7.1%

SPporusdval
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2382628727
Minimum-2.214173733
Maximum1.234247815
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:21.832131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.214173733
5-th percentile-2.194137604
Q1-1.013234768
median0.1765437357
Q30.5241145387
95-th percentile1.150651767
Maximum1.234247815
Range3.448421549
Interquartile range (IQR)1.537349306

Descriptive statistics

Standard deviation1.145547808
Coefficient of variation (CV)-4.807915707
Kurtosis-0.8136750018
Mean-0.2382628727
Median Absolute Deviation (MAD)0.6988996802
Skewness-0.6197525439
Sum-3.335680218
Variance1.312279781
MonotonicityNot monotonic
2025-03-30T10:58:22.292448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3978520078 1
 
7.1%
-1.138381389 1
 
7.1%
-0.6377949051 1
 
7.1%
-1.532506274 1
 
7.1%
0.6862479733 1
 
7.1%
0.0632631548 1
 
7.1%
0.548044974 1
 
7.1%
0.2898243166 1
 
7.1%
1.234247815 1
 
7.1%
1.10563851 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.214173733 1
7.1%
-2.183348918 1
7.1%
-1.532506274 1
7.1%
-1.138381389 1
7.1%
-0.6377949051 1
7.1%
ValueCountFrequency (%)
1.234247815 1
7.1%
1.10563851 1
7.1%
0.6862479733 1
7.1%
0.548044974 1
7.1%
0.452323233 1
7.1%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1192659396
Minimum-1.845008006
Maximum2.138209048
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:22.724890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.845008006
5-th percentile-1.629293006
Q1-0.9535319868
median-0.106324718
Q30.4354160531
95-th percentile1.915193658
Maximum2.138209048
Range3.983217054
Interquartile range (IQR)1.38894804

Descriptive statistics

Standard deviation1.179299376
Coefficient of variation (CV)-9.887981265
Kurtosis-0.2599778957
Mean-0.1192659396
Median Absolute Deviation (MAD)0.8392412573
Skewness0.463026156
Sum-1.669723154
Variance1.390747018
MonotonicityNot monotonic
2025-03-30T10:58:23.212771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.138209048 1
 
7.1%
-0.2320245104 1
 
7.1%
-0.9296339522 1
 
7.1%
-0.9614979984 1
 
7.1%
0.103279153 1
 
7.1%
-0.2000693724 1
 
7.1%
-1.513138775 1
 
7.1%
0.5461283532 1
 
7.1%
-0.0125800635 1
 
7.1%
-1.406474004 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.845008006 1
7.1%
-1.513138775 1
7.1%
-1.406474004 1
7.1%
-0.9614979984 1
7.1%
-0.9296339522 1
7.1%
ValueCountFrequency (%)
2.138209048 1
7.1%
1.795108448 1
7.1%
0.7855911302 1
7.1%
0.5461283532 1
7.1%
0.103279153 1
7.1%

SPporspindx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1611005515
Minimum-1.34720948
Maximum1.228228425
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:23.679989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.34720948
5-th percentile-1.311085884
Q1-0.8942653761
median-0.1905688671
Q30.2518406656
95-th percentile1.126045514
Maximum1.228228425
Range2.575437906
Interquartile range (IQR)1.146106042

Descriptive statistics

Standard deviation0.8705202435
Coefficient of variation (CV)-5.403583263
Kurtosis-1.005350235
Mean-0.1611005515
Median Absolute Deviation (MAD)0.6393976517
Skewness0.1862356268
Sum-2.255407721
Variance0.7578054944
MonotonicityNot monotonic
2025-03-30T10:58:24.086312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.05354063062 1
 
7.1%
1.228228425 1
 
7.1%
-0.1312346734 1
 
7.1%
-1.005645986 1
 
7.1%
-0.2872724921 1
 
7.1%
1.071023946 1
 
7.1%
0.1879147112 1
 
7.1%
1.010162454 1
 
7.1%
-1.206403251 1
 
7.1%
-1.291634716 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.34720948 1
7.1%
-1.291634716 1
7.1%
-1.206403251 1
7.1%
-1.005645986 1
7.1%
-0.5601235451 1
7.1%
ValueCountFrequency (%)
1.228228425 1
7.1%
1.071023946 1
7.1%
1.010162454 1
7.1%
0.273149317 1
7.1%
0.1879147112 1
7.1%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05776327914
Minimum-2.117008052
Maximum1.501390107
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:24.483430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.117008052
5-th percentile-1.539836909
Q1-0.7699203555
median0.2859464396
Q30.8756215837
95-th percentile1.479897224
Maximum1.501390107
Range3.618398159
Interquartile range (IQR)1.645541939

Descriptive statistics

Standard deviation1.075893817
Coefficient of variation (CV)18.62591309
Kurtosis-0.495739693
Mean0.05776327914
Median Absolute Deviation (MAD)0.8166330921
Skewness-0.495958923
Sum0.808685908
Variance1.157547505
MonotonicityNot monotonic
2025-03-30T10:58:24.926414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.229052448 1
 
7.1%
0.4612679434 1
 
7.1%
0.9138501434 1
 
7.1%
0.8963900873 1
 
7.1%
-0.9280129677 1
 
7.1%
0.8133160726 1
 
7.1%
-2.117008052 1
 
7.1%
-0.7867551271 1
 
7.1%
0.3776314694 1
 
7.1%
0.1942614097 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.117008052 1
7.1%
-1.229052448 1
7.1%
-0.9280129677 1
7.1%
-0.7867551271 1
7.1%
-0.7194160408 1
7.1%
ValueCountFrequency (%)
1.501390107 1
7.1%
1.468324133 1
7.1%
0.9138501434 1
7.1%
0.8963900873 1
7.1%
0.8133160726 1
7.1%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.343935997
Minimum-1.877223927
Maximum1.11733554
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:25.371135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.877223927
5-th percentile-1.787005861
Q1-1.01801311
median-0.2441435835
Q30.2173890421
95-th percentile1.021591537
Maximum1.11733554
Range2.994559467
Interquartile range (IQR)1.235402153

Descriptive statistics

Standard deviation0.9457961362
Coefficient of variation (CV)-2.749919009
Kurtosis-0.9076835916
Mean-0.343935997
Median Absolute Deviation (MAD)0.7179654289
Skewness-0.04044836037
Sum-4.815103959
Variance0.8945303313
MonotonicityNot monotonic
2025-03-30T10:58:25.809792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.113458008 1
 
7.1%
-1.073917209 1
 
7.1%
0.9700370737 1
 
7.1%
0.2618389864 1
 
7.1%
-1.738426903 1
 
7.1%
0.7441477889 1
 
7.1%
-0.0351774165 1
 
7.1%
-0.3394396518 1
 
7.1%
0.08403920905 1
 
7.1%
-0.850300816 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.877223927 1
7.1%
-1.738426903 1
7.1%
-1.113458008 1
7.1%
-1.073917209 1
7.1%
-0.850300816 1
7.1%
ValueCountFrequency (%)
1.11733554 1
7.1%
0.9700370737 1
7.1%
0.7441477889 1
7.1%
0.2618389864 1
7.1%
0.08403920905 1
7.1%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1083958023
Minimum-2.01069391
Maximum2.406223923
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:26.255793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.01069391
5-th percentile-1.567296909
Q1-0.9674699837
median0.1739452477
Q30.8429872133
95-th percentile2.068072091
Maximum2.406223923
Range4.416917832
Interquartile range (IQR)1.810457197

Descriptive statistics

Standard deviation1.277768865
Coefficient of variation (CV)11.78799213
Kurtosis-0.6766373145
Mean0.1083958023
Median Absolute Deviation (MAD)1.031308707
Skewness0.1482945704
Sum1.517541233
Variance1.632693273
MonotonicityNot monotonic
2025-03-30T10:58:26.685275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.009830076 1
 
7.1%
0.08420100834 1
 
7.1%
-0.8403897063 1
 
7.1%
-2.01069391 1
 
7.1%
-0.2520387366 1
 
7.1%
-1.096757167 1
 
7.1%
0.8264808704 1
 
7.1%
1.885990336 1
 
7.1%
0.8484893276 1
 
7.1%
-1.328544678 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.01069391 1
7.1%
-1.328544678 1
7.1%
-1.096757167 1
7.1%
-1.009830076 1
7.1%
-0.8403897063 1
7.1%
ValueCountFrequency (%)
2.406223923 1
7.1%
1.885990336 1
7.1%
1.222227708 1
7.1%
0.8484893276 1
7.1%
0.8264808704 1
7.1%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2910304763
Minimum-1.536638901
Maximum1.369685162
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:27.091861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.536638901
5-th percentile-1.476219994
Q1-0.8432100967
median-0.4058546405
Q30.384895797
95-th percentile0.9992638972
Maximum1.369685162
Range2.906324063
Interquartile range (IQR)1.228105894

Descriptive statistics

Standard deviation0.8576009987
Coefficient of variation (CV)-2.946773855
Kurtosis-0.5572225344
Mean-0.2910304763
Median Absolute Deviation (MAD)0.6064063938
Skewness0.3897773132
Sum-4.074426669
Variance0.7354794729
MonotonicityNot monotonic
2025-03-30T10:58:27.522351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.038158107 1
 
7.1%
-0.7379979499 1
 
7.1%
-0.315661249 1
 
7.1%
-0.4837727586 1
 
7.1%
0.538881056 1
 
7.1%
-0.6502969928 1
 
7.1%
0.4549761691 1
 
7.1%
0.7998062928 1
 
7.1%
-1.536638901 1
 
7.1%
-0.3279365224 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.536638901 1
7.1%
-1.443686737 1
7.1%
-1.038158107 1
7.1%
-0.8782808123 1
7.1%
-0.7379979499 1
7.1%
ValueCountFrequency (%)
1.369685162 1
7.1%
0.7998062928 1
7.1%
0.538881056 1
7.1%
0.4549761691 1
7.1%
0.1746546806 1
7.1%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4220283494
Minimum-0.9636423018
Maximum2.131770082
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)21.4%
Memory size224.0 B
2025-03-30T10:58:28.006386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9636423018
5-th percentile-0.5170170179
Q10.06330611535
median0.2753122014
Q30.8811002577
95-th percentile1.535493051
Maximum2.131770082
Range3.095412384
Interquartile range (IQR)0.8177941424

Descriptive statistics

Standard deviation0.7460179664
Coefficient of variation (CV)1.767696335
Kurtosis1.370364607
Mean0.4220283494
Median Absolute Deviation (MAD)0.3199601635
Skewness0.5815120904
Sum5.908396891
Variance0.5565428062
MonotonicityNot monotonic
2025-03-30T10:58:28.482302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.03933912678 1
 
7.1%
0.5783022821 1
 
7.1%
0.9820329162 1
 
7.1%
0.1929677028 1
 
7.1%
-0.9636423018 1
 
7.1%
-0.06161804479 1
 
7.1%
2.131770082 1
 
7.1%
0.3519553659 1
 
7.1%
1.214420803 1
 
7.1%
0.254967002 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9636423018 1
7.1%
-0.2765264804 1
7.1%
-0.06161804479 1
7.1%
0.03933912678 1
7.1%
0.1352070811 1
7.1%
ValueCountFrequency (%)
2.131770082 1
7.1%
1.214420803 1
7.1%
1.033563955 1
7.1%
0.9820329162 1
7.1%
0.5783022821 1
7.1%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4329712388
Minimum-1.889704643
Maximum1.008979199
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:28.957209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.889704643
5-th percentile-1.7921542
Q1-1.222222799
median-0.1967035072
Q30.2255840298
95-th percentile0.9954305628
Maximum1.008979199
Range2.898683842
Interquartile range (IQR)1.447806829

Descriptive statistics

Standard deviation1.003071832
Coefficient of variation (CV)-2.316717007
Kurtosis-1.390403771
Mean-0.4329712388
Median Absolute Deviation (MAD)0.9705947662
Skewness0.03743637775
Sum-6.061597343
Variance1.006153101
MonotonicityNot monotonic
2025-03-30T10:58:29.472810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.235293324 1
 
7.1%
-0.08216088586 1
 
7.1%
-1.459422258 1
 
7.1%
1.008979199 1
 
7.1%
-1.183011224 1
 
7.1%
0.2992519933 1
 
7.1%
-1.138095738 1
 
7.1%
0.7581783084 1
 
7.1%
0.004580139345 1
 
7.1%
-1.889704643 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.889704643 1
7.1%
-1.739627039 1
7.1%
-1.459422258 1
7.1%
-1.235293324 1
7.1%
-1.183011224 1
7.1%
ValueCountFrequency (%)
1.008979199 1
7.1%
0.9881351432 1
7.1%
0.7581783084 1
7.1%
0.2992519933 1
7.1%
0.004580139345 1
7.1%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5452893477
Minimum-2.864709892
Maximum1.04692274
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:58:29.983950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.864709892
5-th percentile-2.230090565
Q1-0.9624104104
median-0.5935442616
Q30.02181193196
95-th percentile0.9732524096
Maximum1.04692274
Range3.911632632
Interquartile range (IQR)0.9842223424

Descriptive statistics

Standard deviation1.034451923
Coefficient of variation (CV)-1.897069744
Kurtosis0.8658153836
Mean-0.5452893477
Median Absolute Deviation (MAD)0.5024444263
Skewness-0.5740034338
Sum-7.634050867
Variance1.070090781
MonotonicityNot monotonic
2025-03-30T10:58:30.486096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7829891743 1
 
7.1%
0.2019322011 1
 
7.1%
-0.18656416 1
 
7.1%
0.02952824101 1
 
7.1%
-1.006225848 1
 
7.1%
1.04692274 1
 
7.1%
-0.947275085 1
 
7.1%
-0.001336995202 1
 
7.1%
0.9335837704 1
 
7.1%
-0.9674555189 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.864709892 1
7.1%
-1.888372465 1
7.1%
-1.006225848 1
7.1%
-0.9674555189 1
7.1%
-0.947275085 1
7.1%
ValueCountFrequency (%)
1.04692274 1
7.1%
0.9335837704 1
7.1%
0.2019322011 1
7.1%
0.02952824101 1
7.1%
-0.001336995202 1
7.1%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06666970964
Minimum-1.491320211
Maximum1.889634426
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:31.056720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.491320211
5-th percentile-1.098097267
Q1-0.6929449724
median0.0619658116
Q30.4464025845
95-th percentile1.733982718
Maximum1.889634426
Range3.380954637
Interquartile range (IQR)1.139347557

Descriptive statistics

Standard deviation0.9794342246
Coefficient of variation (CV)14.69084281
Kurtosis-0.3156125247
Mean0.06666970964
Median Absolute Deviation (MAD)0.6937453454
Skewness0.4980874008
Sum0.9333759349
Variance0.9592914003
MonotonicityNot monotonic
2025-03-30T10:58:31.501350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1499186535 1
 
7.1%
0.04544273233 1
 
7.1%
1.129802852 1
 
7.1%
-0.7937924841 1
 
7.1%
1.889634426 1
 
7.1%
0.2889697555 1
 
7.1%
0.07848889087 1
 
7.1%
-0.886361836 1
 
7.1%
-0.5094486567 1
 
7.1%
-0.754110411 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.491320211 1
7.1%
-0.886361836 1
7.1%
-0.7937924841 1
7.1%
-0.754110411 1
7.1%
-0.5094486567 1
7.1%
ValueCountFrequency (%)
1.889634426 1
7.1%
1.65017026 1
7.1%
1.129802852 1
7.1%
0.4988801942 1
7.1%
0.2889697555 1
7.1%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1233556746
Minimum-1.709399324
Maximum1.604731994
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:31.936058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.709399324
5-th percentile-1.363824434
Q1-0.2079251931
median0.1335966618
Q30.8678195691
95-th percentile1.532414437
Maximum1.604731994
Range3.314131318
Interquartile range (IQR)1.075744762

Descriptive statistics

Standard deviation0.9964309648
Coefficient of variation (CV)8.077706744
Kurtosis-0.4970738151
Mean0.1233556746
Median Absolute Deviation (MAD)0.6242793661
Skewness-0.2597947397
Sum1.726979445
Variance0.9928746677
MonotonicityNot monotonic
2025-03-30T10:58:32.346150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.493474213 1
 
7.1%
1.039478814 1
 
7.1%
1.604731994 1
 
7.1%
-1.709399324 1
 
7.1%
0.2211759787 1
 
7.1%
-1.177745648 1
 
7.1%
-0.2090799181 1
 
7.1%
-0.2044610183 1
 
7.1%
-1.153467995 1
 
7.1%
0.3528418341 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.709399324 1
7.1%
-1.177745648 1
7.1%
-1.153467995 1
7.1%
-0.2090799181 1
7.1%
-0.2044610183 1
7.1%
ValueCountFrequency (%)
1.604731994 1
7.1%
1.493474213 1
7.1%
1.137733633 1
7.1%
1.039478814 1
7.1%
0.3528418341 1
7.1%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.402899397
Minimum-3.064456869
Maximum1.000510868
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:33.300369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.064456869
5-th percentile-2.079787596
Q1-0.859077344
median-0.1114321227
Q30.1368773864
95-th percentile0.9657378804
Maximum1.000510868
Range4.064967737
Interquartile range (IQR)0.9959547304

Descriptive statistics

Standard deviation1.062580951
Coefficient of variation (CV)-2.63733567
Kurtosis1.929698508
Mean-0.402899397
Median Absolute Deviation (MAD)0.4725112134
Skewness-1.133920125
Sum-5.640591558
Variance1.129078278
MonotonicityNot monotonic
2025-03-30T10:58:33.759835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1206040073 1
 
7.1%
-1.25232056 1
 
7.1%
0.01970193663 1
 
7.1%
-0.6921508599 1
 
7.1%
0.1116300212 1
 
7.1%
-0.242566182 1
 
7.1%
-3.064456869 1
 
7.1%
0.1423018461 1
 
7.1%
0.2091766508 1
 
7.1%
-1.549581064 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.064456869 1
7.1%
-1.549581064 1
7.1%
-1.25232056 1
7.1%
-0.9147195053 1
7.1%
-0.6921508599 1
7.1%
ValueCountFrequency (%)
1.000510868 1
7.1%
0.9470139642 1
7.1%
0.2091766508 1
7.1%
0.1423018461 1
7.1%
0.1206040073 1
7.1%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2662150005
Minimum-1.008855033
Maximum1.715266042
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:34.232392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.008855033
5-th percentile-0.848874832
Q1-0.2480089395
median0.3435658938
Q30.7620476096
95-th percentile1.381644765
Maximum1.715266042
Range2.724121075
Interquartile range (IQR)1.010056549

Descriptive statistics

Standard deviation0.7741513516
Coefficient of variation (CV)2.907992976
Kurtosis-0.4938287144
Mean0.2662150005
Median Absolute Deviation (MAD)0.5455122301
Skewness0.0889566238
Sum3.727010007
Variance0.5993103151
MonotonicityNot monotonic
2025-03-30T10:58:34.665533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7627316471 1
 
7.1%
-0.5454881544 1
 
7.1%
0.5577872404 1
 
7.1%
-1.008855033 1
 
7.1%
0.9480218484 1
 
7.1%
0.46355443 1
 
7.1%
0.8301343994 1
 
7.1%
0.03905630269 1
 
7.1%
1.715266042 1
 
7.1%
0.2235773575 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.008855033 1
7.1%
-0.7627316471 1
7.1%
-0.5454881544 1
7.1%
-0.2864335185 1
7.1%
-0.1327352026 1
7.1%
ValueCountFrequency (%)
1.715266042 1
7.1%
1.202002538 1
7.1%
0.9480218484 1
7.1%
0.8301343994 1
7.1%
0.5577872404 1
7.1%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06699895376
Minimum-1.004897193
Maximum1.342670109
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:35.093379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.004897193
5-th percentile-0.9574890718
Q1-0.5163868973
median0.07836072958
Q30.4752895394
95-th percentile1.281767019
Maximum1.342670109
Range2.347567302
Interquartile range (IQR)0.9916764367

Descriptive statistics

Standard deviation0.75014471
Coefficient of variation (CV)11.19636454
Kurtosis-0.8402292492
Mean0.06699895376
Median Absolute Deviation (MAD)0.5405088559
Skewness0.2913993099
Sum0.9379853527
Variance0.562717086
MonotonicityNot monotonic
2025-03-30T10:58:35.502212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.3536705843 1
 
7.1%
-0.6252497601 1
 
7.1%
0.4794069176 1
 
7.1%
-0.9319616222 1
 
7.1%
1.342670109 1
 
7.1%
-1.004897193 1
 
7.1%
-0.3054566117 1
 
7.1%
0.835542757 1
 
7.1%
0.02288287735 1
 
7.1%
1.248973047 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.004897193 1
7.1%
-0.9319616222 1
7.1%
-0.6252497601 1
7.1%
-0.5706256683 1
7.1%
-0.3536705843 1
7.1%
ValueCountFrequency (%)
1.342670109 1
7.1%
1.248973047 1
7.1%
0.835542757 1
7.1%
0.4794069176 1
7.1%
0.4629374047 1
7.1%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3147389526
Minimum-1.283289399
Maximum1.474370072
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)78.6%
Memory size224.0 B
2025-03-30T10:58:35.866796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.283289399
5-th percentile-1.185309661
Q1-0.7567836972
median-0.405671389
Q3-0.06789139032
95-th percentile0.9710835254
Maximum1.474370072
Range2.757659471
Interquartile range (IQR)0.6888923069

Descriptive statistics

Standard deviation0.7311935009
Coefficient of variation (CV)-2.323174475
Kurtosis1.697897969
Mean-0.3147389526
Median Absolute Deviation (MAD)0.3901857234
Skewness1.135048763
Sum-4.406345336
Variance0.5346439357
MonotonicityNot monotonic
2025-03-30T10:58:36.302325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.9848778493 1
 
7.1%
-0.5006030047 1
 
7.1%
1.474370072 1
 
7.1%
-1.283289399 1
 
7.1%
-0.1860909783 1
 
7.1%
0.7000830772 1
 
7.1%
-0.02849152766 1
 
7.1%
-0.3009380691 1
 
7.1%
-1.132551341 1
 
7.1%
-0.5279123927 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.283289399 1
7.1%
-1.132551341 1
7.1%
-0.9848778493 1
7.1%
-0.8088629745 1
7.1%
-0.6005458655 1
7.1%
ValueCountFrequency (%)
1.474370072 1
7.1%
0.7000830772 1
7.1%
0.08410468978 1
7.1%
-0.02849152766 1
7.1%
-0.1860909783 1
7.1%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.162308679
Minimum-1.953771981
Maximum1.680923699
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:36.756369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.953771981
5-th percentile-1.514213058
Q1-1.01904203
median0.1592661209
Q30.4867006967
95-th percentile1.332364869
Maximum1.680923699
Range3.63469568
Interquartile range (IQR)1.505742727

Descriptive statistics

Standard deviation1.034975133
Coefficient of variation (CV)-6.376585282
Kurtosis-0.7281710752
Mean-0.162308679
Median Absolute Deviation (MAD)0.8977773592
Skewness-0.01308269649
Sum-2.272321505
Variance1.071173527
MonotonicityNot monotonic
2025-03-30T10:58:37.197984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2304954051 1
 
7.1%
-1.953771981 1
 
7.1%
-1.277527484 1
 
7.1%
-1.042997024 1
 
7.1%
0.5287079214 1
 
7.1%
0.1457496195 1
 
7.1%
-0.6508753727 1
 
7.1%
0.5148012299 1
 
7.1%
1.144679346 1
 
7.1%
0.1727826224 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.953771981 1
7.1%
-1.277527484 1
7.1%
-1.220511535 1
7.1%
-1.042997024 1
7.1%
-0.947177048 1
7.1%
ValueCountFrequency (%)
1.680923699 1
7.1%
1.144679346 1
7.1%
0.5287079214 1
7.1%
0.5148012299 1
7.1%
0.4023990972 1
7.1%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3748577937
Minimum-1.205991344
Maximum1.801798725
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:37.641937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.205991344
5-th percentile-0.9321456159
Q1-0.3972110493
median0.5706493062
Q31.167886126
95-th percentile1.546595509
Maximum1.801798725
Range3.007790068
Interquartile range (IQR)1.565097175

Descriptive statistics

Standard deviation0.9297481302
Coefficient of variation (CV)2.480268907
Kurtosis-1.182676149
Mean0.3748577937
Median Absolute Deviation (MAD)0.6840597953
Skewness-0.1893700338
Sum5.248009112
Variance0.8644315856
MonotonicityNot monotonic
2025-03-30T10:58:38.032676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.1265595598 1
 
7.1%
-0.6072550508 1
 
7.1%
0.5091387931 1
 
7.1%
1.191246297 1
 
7.1%
1.241560031 1
 
7.1%
1.097805612 1
 
7.1%
-0.7846902241 1
 
7.1%
0.6686766254 1
 
7.1%
-1.205991344 1
 
7.1%
1.801798725 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.205991344 1
7.1%
-0.7846902241 1
7.1%
-0.6072550508 1
7.1%
-0.4874282125 1
7.1%
-0.1265595598 1
7.1%
ValueCountFrequency (%)
1.801798725 1
7.1%
1.409178394 1
7.1%
1.241560031 1
7.1%
1.191246297 1
7.1%
1.097805612 1
7.1%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01973529538
Minimum-0.9315260488
Maximum1.268377954
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:38.466501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9315260488
5-th percentile-0.6502062121
Q1-0.3980911356
median-0.04735196169
Q30.2581829856
95-th percentile0.869550203
Maximum1.268377954
Range2.199904003
Interquartile range (IQR)0.6562741212

Descriptive statistics

Standard deviation0.5580216112
Coefficient of variation (CV)28.27531084
Kurtosis0.7970748049
Mean0.01973529538
Median Absolute Deviation (MAD)0.3666091982
Skewness0.5680984853
Sum0.2762941353
Variance0.3113881186
MonotonicityNot monotonic
2025-03-30T10:58:38.897247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4987263001 1
 
7.1%
-0.4833179305 1
 
7.1%
-0.4652470526 1
 
7.1%
-0.05562081044 1
 
7.1%
0.077795148 1
 
7.1%
0.228817911 1
 
7.1%
0.6547967987 1
 
7.1%
-0.9315260488 1
 
7.1%
-0.1966233846 1
 
7.1%
0.2679713438 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9315260488 1
7.1%
-0.4987263001 1
7.1%
-0.4833179305 1
7.1%
-0.4652470526 1
7.1%
-0.1966233846 1
7.1%
ValueCountFrequency (%)
1.268377954 1
7.1%
0.6547967987 1
7.1%
0.5203804151 1
7.1%
0.2679713438 1
7.1%
0.228817911 1
7.1%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2822970095
Minimum-2.461472114
Maximum1.457921024
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:39.303745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.461472114
5-th percentile-1.614384281
Q1-1.019487531
median-0.429501118
Q30.5300202974
95-th percentile1.31705059
Maximum1.457921024
Range3.919393138
Interquartile range (IQR)1.549507829

Descriptive statistics

Standard deviation1.087390658
Coefficient of variation (CV)-3.851938284
Kurtosis-0.2452657779
Mean-0.2822970095
Median Absolute Deviation (MAD)0.6750396268
Skewness-0.07976543106
Sum-3.952158133
Variance1.182418444
MonotonicityNot monotonic
2025-03-30T10:58:39.780378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.457921024 1
 
7.1%
-1.158260064 1
 
7.1%
1.241197279 1
 
7.1%
-1.047151023 1
 
7.1%
-1.050821426 1
 
7.1%
0.5625959484 1
 
7.1%
-0.7912611513 1
 
7.1%
0.8517721636 1
 
7.1%
-0.6313090202 1
 
7.1%
0.4322933441 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.461472114 1
7.1%
-1.158260064 1
7.1%
-1.050821426 1
7.1%
-1.047151023 1
7.1%
-0.9364970559 1
7.1%
ValueCountFrequency (%)
1.457921024 1
7.1%
1.241197279 1
7.1%
0.8517721636 1
7.1%
0.5625959484 1
7.1%
0.4322933441 1
7.1%

stockvwretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001217397933
Minimum-1.824537568
Maximum2.221355582
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:40.236465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.824537568
5-th percentile-1.493609789
Q1-0.7390036683
median-0.01978832682
Q30.7708456186
95-th percentile1.497958899
Maximum2.221355582
Range4.04589315
Interquartile range (IQR)1.509849287

Descriptive statistics

Standard deviation1.112484784
Coefficient of variation (CV)-913.8218115
Kurtosis-0.2721763547
Mean-0.001217397933
Median Absolute Deviation (MAD)0.8181368261
Skewness0.218716514
Sum-0.01704357106
Variance1.237622396
MonotonicityNot monotonic
2025-03-30T10:58:40.706368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8090585295 1
 
7.1%
-1.315417909 1
 
7.1%
1.108437608 1
 
7.1%
0.2515924688 1
 
7.1%
0.6017371064 1
 
7.1%
-0.5288390846 1
 
7.1%
-0.3168562899 1
 
7.1%
-1.242310278 1
 
7.1%
1.049214853 1
 
7.1%
-1.824537568 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.824537568 1
7.1%
-1.315417909 1
7.1%
-1.242310278 1
7.1%
-0.8090585295 1
7.1%
-0.5288390846 1
7.1%
ValueCountFrequency (%)
2.221355582 1
7.1%
1.108437608 1
7.1%
1.049214853 1
7.1%
0.8272151227 1
7.1%
0.6017371064 1
7.1%

stockvwretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.330815343
Minimum-1.033206263
Maximum1.011105213
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:58:41.192386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.033206263
5-th percentile-0.6620461573
Q1-0.02921525076
median0.5883991317
Q30.7441567366
95-th percentile0.9049557311
Maximum1.011105213
Range2.044311475
Interquartile range (IQR)0.7733719874

Descriptive statistics

Standard deviation0.5909313686
Coefficient of variation (CV)1.786287671
Kurtosis0.5519136035
Mean0.330815343
Median Absolute Deviation (MAD)0.2365823185
Skewness-1.102754199
Sum4.631414802
Variance0.3491998824
MonotonicityNot monotonic
2025-03-30T10:58:41.701768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4621907158 1
 
7.1%
-0.2085428205 1
 
7.1%
0.6847969123 1
 
7.1%
-0.01449273066 1
 
7.1%
0.5624799233 1
 
7.1%
0.8021645825 1
 
7.1%
0.4688455417 1
 
7.1%
0.6285179141 1
 
7.1%
-1.033206263 1
 
7.1%
0.6143183402 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.033206263 1
7.1%
-0.4621907158 1
7.1%
-0.2085428205 1
7.1%
-0.03412275746 1
7.1%
-0.01449273066 1
7.1%
ValueCountFrequency (%)
1.011105213 1
7.1%
0.847798318 1
7.1%
0.8021645825 1
7.1%
0.7639433447 1
7.1%
0.6847969123 1
7.1%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04622831104
Minimum-1.318856776
Maximum1.868744763
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:42.186199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.318856776
5-th percentile-1.189544528
Q1-0.630655544
median-0.4564612417
Q30.7252012883
95-th percentile1.385159796
Maximum1.868744763
Range3.187601538
Interquartile range (IQR)1.355856832

Descriptive statistics

Standard deviation0.9286381853
Coefficient of variation (CV)-20.08808378
Kurtosis-0.3926849277
Mean-0.04622831104
Median Absolute Deviation (MAD)0.5859223665
Skewness0.6480715891
Sum-0.6471963545
Variance0.8623688792
MonotonicityNot monotonic
2025-03-30T10:58:42.638866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5360180748 1
 
7.1%
-0.7535168417 1
 
7.1%
-0.4910029609 1
 
7.1%
-1.119914856 1
 
7.1%
-1.318856776 1
 
7.1%
-0.6622013671 1
 
7.1%
1.124767891 1
 
7.1%
0.0519298773 1
 
7.1%
0.8016932383 1
 
7.1%
0.8043757973 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.318856776 1
7.1%
-1.119914856 1
7.1%
-0.7535168417 1
7.1%
-0.6622013671 1
7.1%
-0.5360180748 1
7.1%
ValueCountFrequency (%)
1.868744763 1
7.1%
1.124767891 1
7.1%
0.8043757973 1
7.1%
0.8016932383 1
7.1%
0.4957254384 1
7.1%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05834210238
Minimum-2.014893405
Maximum1.874376497
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:43.061464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.014893405
5-th percentile-1.544393035
Q1-0.705786007
median0.1942812952
Q30.9323909622
95-th percentile1.553496118
Maximum1.874376497
Range3.889269902
Interquartile range (IQR)1.638176969

Descriptive statistics

Standard deviation1.106900235
Coefficient of variation (CV)18.97258052
Kurtosis-0.62634414
Mean0.05834210238
Median Absolute Deviation (MAD)0.8019256314
Skewness-0.2028095972
Sum0.8167894334
Variance1.225228131
MonotonicityNot monotonic
2025-03-30T10:58:43.521691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4026346315 1
 
7.1%
-0.468010285 1
 
7.1%
0.7639486157 1
 
7.1%
0.988538411 1
 
7.1%
-0.4261271488 1
 
7.1%
0.1454230162 1
 
7.1%
-1.291046683 1
 
7.1%
-1.000739028 1
 
7.1%
1.380714376 1
 
7.1%
1.874376497 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.014893405 1
7.1%
-1.291046683 1
7.1%
-1.000739028 1
7.1%
-0.785044581 1
7.1%
-0.468010285 1
7.1%
ValueCountFrequency (%)
1.874376497 1
7.1%
1.380714376 1
7.1%
1.003875442 1
7.1%
0.988538411 1
7.1%
0.7639486157 1
7.1%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3570664228
Minimum-0.8599400677
Maximum2.038328985
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:43.982587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8599400677
5-th percentile-0.5873335714
Q1-0.3598364396
median0.2777259985
Q30.7986974267
95-th percentile1.766360081
Maximum2.038328985
Range2.898269052
Interquartile range (IQR)1.158533866

Descriptive statistics

Standard deviation0.8724525828
Coefficient of variation (CV)2.443390157
Kurtosis-0.5912081782
Mean0.3570664228
Median Absolute Deviation (MAD)0.6193287432
Skewness0.6059089529
Sum4.998929919
Variance0.7611735093
MonotonicityNot monotonic
2025-03-30T10:58:44.395186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.038328985 1
 
7.1%
-0.4168772171 1
 
7.1%
1.417094826 1
 
7.1%
0.4629623607 1
 
7.1%
0.8555399493 1
 
7.1%
-0.3831175371 1
 
7.1%
-0.8599400677 1
 
7.1%
-0.2899931469 1
 
7.1%
-0.4405454581 1
 
7.1%
-0.1880599174 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8599400677 1
7.1%
-0.4405454581 1
7.1%
-0.4168772171 1
7.1%
-0.3831175371 1
7.1%
-0.2899931469 1
7.1%
ValueCountFrequency (%)
2.038328985 1
7.1%
1.619915287 1
7.1%
1.417094826 1
7.1%
0.8555399493 1
7.1%
0.6281698591 1
7.1%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.115503108
Minimum-1.909871573
Maximum3.55561713
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:44.793333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.909871573
5-th percentile-1.789117686
Q1-0.9746615771
median-0.2938862823
Q30.3077874925
95-th percentile2.059273604
Maximum3.55561713
Range5.465488702
Interquartile range (IQR)1.28244907

Descriptive statistics

Standard deviation1.41022146
Coefficient of variation (CV)-12.20938107
Kurtosis2.57046566
Mean-0.115503108
Median Absolute Deviation (MAD)0.6833989713
Skewness1.303933867
Sum-1.617043512
Variance1.988724566
MonotonicityNot monotonic
2025-03-30T10:58:45.159703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.1211488251 1
 
7.1%
1.032858129 1
 
7.1%
-0.7732062044 1
 
7.1%
-0.3639133321 1
 
7.1%
0.3249845746 1
 
7.1%
1.253550166 1
 
7.1%
-1.909871573 1
 
7.1%
3.55561713 1
 
7.1%
-1.041813368 1
 
7.1%
-0.5435668402 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.909871573 1
7.1%
-1.724096362 1
7.1%
-1.338774021 1
7.1%
-1.041813368 1
7.1%
-0.7732062044 1
7.1%
ValueCountFrequency (%)
3.55561713 1
7.1%
1.253550166 1
7.1%
1.032858129 1
7.1%
0.3249845746 1
7.1%
0.2561962462 1
7.1%

stockewretd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1081046152
Minimum-1.38945351
Maximum0.7704561914
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:45.556563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.38945351
5-th percentile-1.163705123
Q1-0.7807040357
median0.07016727774
Q30.5116916801
95-th percentile0.6782567514
Maximum0.7704561914
Range2.159909701
Interquartile range (IQR)1.292395716

Descriptive statistics

Standard deviation0.7276351249
Coefficient of variation (CV)-6.730842378
Kurtosis-1.323294906
Mean-0.1081046152
Median Absolute Deviation (MAD)0.516053025
Skewness-0.5043356632
Sum-1.513464612
Variance0.529452875
MonotonicityNot monotonic
2025-03-30T10:58:45.937046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7069197859 1
 
7.1%
0.1217586103 1
 
7.1%
0.4488200911 1
 
7.1%
0.01857594516 1
 
7.1%
-0.06981039018 1
 
7.1%
-0.8052987856 1
 
7.1%
0.7704561914 1
 
7.1%
-0.9651109323 1
 
7.1%
-1.0421483 1
 
7.1%
0.4005767714 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.38945351 1
7.1%
-1.0421483 1
7.1%
-0.9651109323 1
7.1%
-0.8052987856 1
7.1%
-0.7069197859 1
7.1%
ValueCountFrequency (%)
0.7704561914 1
7.1%
0.6286108991 1
7.1%
0.5438297064 1
7.1%
0.5326488765 1
7.1%
0.4488200911 1
7.1%

stockewretx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1645113285
Minimum-0.7967964103
Maximum1.413549405
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:46.317056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7967964103
5-th percentile-0.792232065
Q1-0.5124952851
median0.1455385817
Q30.8641083534
95-th percentile1.211535452
Maximum1.413549405
Range2.210345815
Interquartile range (IQR)1.376603638

Descriptive statistics

Standard deviation0.770413884
Coefficient of variation (CV)4.683044572
Kurtosis-1.537111872
Mean0.1645113285
Median Absolute Deviation (MAD)0.6994081704
Skewness0.193169558
Sum2.303158599
Variance0.5935375527
MonotonicityNot monotonic
2025-03-30T10:58:46.703833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5046946897 1
 
7.1%
-0.3907056139 1
 
7.1%
-0.5926436939 1
 
7.1%
1.413549405 1
 
7.1%
0.5195145316 1
 
7.1%
0.9940444377 1
 
7.1%
-0.5150954835 1
 
7.1%
1.102758709 1
 
7.1%
0.9422544142 1
 
7.1%
-0.7897743407 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.7967964103 1
7.1%
-0.7897743407 1
7.1%
-0.5926436939 1
7.1%
-0.5150954835 1
7.1%
-0.5046946897 1
7.1%
ValueCountFrequency (%)
1.413549405 1
7.1%
1.102758709 1
7.1%
0.9940444377 1
7.1%
0.9422544142 1
7.1%
0.6296701711 1
7.1%

stockewTotVal
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04774690402
Minimum-1.796858521
Maximum1.264656907
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:47.089190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.796858521
5-th percentile-1.379026404
Q1-0.7228162392
median0.1012196517
Q30.5300794204
95-th percentile1.02124402
Maximum1.264656907
Range3.061515428
Interquartile range (IQR)1.25289566

Descriptive statistics

Standard deviation0.8639582258
Coefficient of variation (CV)-18.09453919
Kurtosis-0.3643894336
Mean-0.04774690402
Median Absolute Deviation (MAD)0.6488275919
Skewness-0.5114823479
Sum-0.6684566562
Variance0.7464238159
MonotonicityNot monotonic
2025-03-30T10:58:47.530146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.7064056244 1
 
7.1%
0.165195341 1
 
7.1%
-1.796858521 1
 
7.1%
0.03724396248 1
 
7.1%
-0.7666717992 1
 
7.1%
-0.79091406 1
 
7.1%
0.8901755427 1
 
7.1%
-1.154039879 1
 
7.1%
-0.05842854325 1
 
7.1%
0.4341294251 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.796858521 1
7.1%
-1.154039879 1
7.1%
-0.79091406 1
7.1%
-0.7666717992 1
7.1%
-0.5912495594 1
7.1%
ValueCountFrequency (%)
1.264656907 1
7.1%
0.8901755427 1
7.1%
0.7064056244 1
7.1%
0.5620627521 1
7.1%
0.4341294251 1
7.1%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1452032251
Minimum-2.851907841
Maximum1.362854699
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:47.955215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.851907841
5-th percentile-2.27108934
Q1-0.9427121962
median0.06000417023
Q31.070001951
95-th percentile1.348352731
Maximum1.362854699
Range4.21476254
Interquartile range (IQR)2.012714147

Descriptive statistics

Standard deviation1.309501488
Coefficient of variation (CV)-9.018404981
Kurtosis-0.3709405964
Mean-0.1452032251
Median Absolute Deviation (MAD)1.056813888
Skewness-0.6179021981
Sum-2.032845151
Variance1.714794148
MonotonicityNot monotonic
2025-03-30T10:58:48.366427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.093690439 1
 
7.1%
1.362854699 1
 
7.1%
1.340543979 1
 
7.1%
-1.019937338 1
 
7.1%
-1.17404246 1
 
7.1%
-0.7110367705 1
 
7.1%
-1.958340916 1
 
7.1%
0.07887302324 1
 
7.1%
-2.851907841 1
 
7.1%
0.9989364866 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.851907841 1
7.1%
-1.958340916 1
7.1%
-1.17404246 1
7.1%
-1.019937338 1
7.1%
-0.7110367705 1
7.1%
ValueCountFrequency (%)
1.362854699 1
7.1%
1.340543979 1
7.1%
1.156709853 1
7.1%
1.093690439 1
7.1%
0.9989364866 1
7.1%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2588018282
Minimum-1.764405721
Maximum1.342493807
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:48.727215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.764405721
5-th percentile-1.462818035
Q1-0.7737434566
median-0.3796660704
Q30.1827881226
95-th percentile1.030155825
Maximum1.342493807
Range3.106899527
Interquartile range (IQR)0.9565315792

Descriptive statistics

Standard deviation0.8448596556
Coefficient of variation (CV)-3.264504202
Kurtosis-0.1448593215
Mean-0.2588018282
Median Absolute Deviation (MAD)0.4595096736
Skewness0.2022299848
Sum-3.623225594
Variance0.7137878377
MonotonicityNot monotonic
2025-03-30T10:58:49.167395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8205765556 1
 
7.1%
1.342493807 1
 
7.1%
0.09028133775 1
 
7.1%
-1.764405721 1
 
7.1%
-0.3153151636 1
 
7.1%
-0.04959636118 1
 
7.1%
-0.4440169771 1
 
7.1%
0.6260136044 1
 
7.1%
0.8619738353 1
 
7.1%
-0.8287380094 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.764405721 1
7.1%
-1.300424666 1
7.1%
-0.8287380094 1
7.1%
-0.8205765556 1
7.1%
-0.6332441596 1
7.1%
ValueCountFrequency (%)
1.342493807 1
7.1%
0.8619738353 1
7.1%
0.6260136044 1
7.1%
0.2136237176 1
7.1%
0.09028133775 1
7.1%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1653234373
Minimum-2.03829653
Maximum2.53623131
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:49.595772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.03829653
5-th percentile-1.937589147
Q1-0.4936133423
median0.1524976954
Q31.167373883
95-th percentile2.133288192
Maximum2.53623131
Range4.574527839
Interquartile range (IQR)1.660987226

Descriptive statistics

Standard deviation1.423482018
Coefficient of variation (CV)8.610285637
Kurtosis-0.73022943
Mean0.1653234373
Median Absolute Deviation (MAD)0.9105438818
Skewness-0.1700542542
Sum2.314528122
Variance2.026301055
MonotonicityNot monotonic
2025-03-30T10:58:49.997085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5424993064 1
 
7.1%
-1.868817313 1
 
7.1%
0.6572125036 1
 
7.1%
1.271706189 1
 
7.1%
-1.883362095 1
 
7.1%
0.2125916149 1
 
7.1%
1.91631882 1
 
7.1%
-0.02205180126 1
 
7.1%
0.8543769651 1
 
7.1%
2.53623131 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.03829653 1
7.1%
-1.883362095 1
7.1%
-1.868817313 1
7.1%
-0.5424993064 1
7.1%
-0.3469554499 1
7.1%
ValueCountFrequency (%)
2.53623131 1
7.1%
1.91631882 1
7.1%
1.475669439 1
7.1%
1.271706189 1
7.1%
0.8543769651 1
7.1%

stocksprtrn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04796081844
Minimum-1.318777666
Maximum1.874276091
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:50.389726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.318777666
5-th percentile-1.152118512
Q1-0.9032496561
median0.0302364648
Q30.451352328
95-th percentile1.841025621
Maximum1.874276091
Range3.193053757
Interquartile range (IQR)1.354601984

Descriptive statistics

Standard deviation1.069248793
Coefficient of variation (CV)22.2942149
Kurtosis-0.7571610269
Mean0.04796081844
Median Absolute Deviation (MAD)0.9207740234
Skewness0.5559974363
Sum0.6714514582
Variance1.143292982
MonotonicityNot monotonic
2025-03-30T10:58:50.785972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.055582312 1
 
7.1%
-0.8651133635 1
 
7.1%
1.874276091 1
 
7.1%
1.823121522 1
 
7.1%
-0.9159617537 1
 
7.1%
0.5343863055 1
 
7.1%
1.441529982 1
 
7.1%
0.2022503955 1
 
7.1%
-1.062378967 1
 
7.1%
-0.1919280704 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.318777666 1
7.1%
-1.062378967 1
7.1%
-1.055582312 1
7.1%
-0.9159617537 1
7.1%
-0.8651133635 1
7.1%
ValueCountFrequency (%)
1.874276091 1
7.1%
1.823121522 1
7.1%
1.441529982 1
7.1%
0.5343863055 1
7.1%
0.2022503955 1
7.1%

ustreb30ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6285556025
Minimum-1.496428707
Maximum1.838463931
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)78.6%
Memory size224.0 B
2025-03-30T10:58:51.182009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.496428707
5-th percentile-1.439307942
Q1-1.231747408
median-0.9561841025
Q3-0.3093638519
95-th percentile0.7882970878
Maximum1.838463931
Range3.334892638
Interquartile range (IQR)0.9223835564

Descriptive statistics

Standard deviation0.8985931619
Coefficient of variation (CV)-1.429616025
Kurtosis3.562543164
Mean-0.6285556025
Median Absolute Deviation (MAD)0.4092039125
Skewness1.738777284
Sum-8.799778435
Variance0.8074696706
MonotonicityNot monotonic
2025-03-30T10:58:51.578038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.057492955 1
 
7.1%
-0.2271377802 1
 
7.1%
-1.28162345 1
 
7.1%
0.2228226339 1
 
7.1%
-0.9870969205 1
 
7.1%
-1.408550607 1
 
7.1%
-1.496428707 1
 
7.1%
-1.374449892 1
 
7.1%
-0.5560420669 1
 
7.1%
-0.589562204 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.496428707 1
7.1%
-1.408550607 1
7.1%
-1.374449892 1
7.1%
-1.28162345 1
7.1%
-1.082119284 1
7.1%
ValueCountFrequency (%)
1.838463931 1
7.1%
0.2228226339 1
7.1%
0.1247101516 1
7.1%
-0.2271377802 1
7.1%
-0.5560420669 1
7.1%

ustreb30ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05684322393
Minimum-1.66641919
Maximum1.912554689
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:52.021825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.66641919
5-th percentile-1.32883388
Q1-0.6337169951
median-0.320463655
Q31.092935136
95-th percentile1.896389896
Maximum1.912554689
Range3.578973879
Interquartile range (IQR)1.726652131

Descriptive statistics

Standard deviation1.170909724
Coefficient of variation (CV)20.59893235
Kurtosis-1.031241895
Mean0.05684322393
Median Absolute Deviation (MAD)0.6254185818
Skewness0.484939018
Sum0.795805135
Variance1.371029582
MonotonicityNot monotonic
2025-03-30T10:58:52.433606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5865287822 1
 
7.1%
-0.4895165992 1
 
7.1%
-0.6494463994 1
 
7.1%
-0.1514107109 1
 
7.1%
0.1490431979 1
 
7.1%
-0.5804622058 1
 
7.1%
1.490338121 1
 
7.1%
0.2523688368 1
 
7.1%
1.912554689 1
 
7.1%
1.373123902 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.66641919 1
7.1%
-1.147057175 1
7.1%
-0.9984683267 1
7.1%
-0.6494463994 1
7.1%
-0.5865287822 1
7.1%
ValueCountFrequency (%)
1.912554689 1
7.1%
1.887685777 1
7.1%
1.490338121 1
7.1%
1.373123902 1
7.1%
0.2523688368 1
7.1%

ustreb20ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1632623445
Minimum-1.520419655
Maximum1.46557829
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:58:52.846550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.520419655
5-th percentile-1.18960875
Q1-0.311197628
median0.1251941714
Q30.9550360775
95-th percentile1.235484155
Maximum1.46557829
Range2.985997945
Interquartile range (IQR)1.266233706

Descriptive statistics

Standard deviation0.8693262223
Coefficient of variation (CV)5.3247197
Kurtosis-0.5290820245
Mean0.1632623445
Median Absolute Deviation (MAD)0.6406081315
Skewness-0.3165891332
Sum2.285672824
Variance0.7557280809
MonotonicityNot monotonic
2025-03-30T10:58:53.242097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1860663361 1
 
7.1%
1.041734908 1
 
7.1%
1.46557829 1
 
7.1%
-0.3605427921 1
 
7.1%
-1.520419655 1
 
7.1%
-1.011479801 1
 
7.1%
0.06432200671 1
 
7.1%
-0.5862766765 1
 
7.1%
1.111587313 1
 
7.1%
-0.1325976735 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.520419655 1
7.1%
-1.011479801 1
7.1%
-0.5862766765 1
7.1%
-0.3605427921 1
7.1%
-0.1631621358 1
7.1%
ValueCountFrequency (%)
1.46557829 1
7.1%
1.111587313 1
7.1%
1.091179314 1
7.1%
1.041734908 1
7.1%
0.6949395864 1
7.1%

ustreb20ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1428061374
Minimum-1.690065261
Maximum1.256613603
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:58:53.638902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.690065261
5-th percentile-1.371040866
Q1-0.7122372556
median-0.08522191827
Q30.2585934647
95-th percentile0.9474495538
Maximum1.256613603
Range2.946678864
Interquartile range (IQR)0.9708307202

Descriptive statistics

Standard deviation0.8080787155
Coefficient of variation (CV)-5.658571336
Kurtosis-0.175408261
Mean-0.1428061374
Median Absolute Deviation (MAD)0.5821411489
Skewness-0.225502567
Sum-1.999285923
Variance0.6529912104
MonotonicityNot monotonic
2025-03-30T10:58:54.019077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.09991984772 1
 
7.1%
-0.8527976275 1
 
7.1%
0.005800119116 1
 
7.1%
-0.8907936665 1
 
7.1%
0.3114846703 1
 
7.1%
0.7434729894 1
 
7.1%
-0.1024459761 1
 
7.1%
-0.06799786041 1
 
7.1%
1.256613603 1
 
7.1%
0.7809766044 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.690065261 1
7.1%
-1.1992585 1
7.1%
-0.8907936665 1
7.1%
-0.8527976275 1
7.1%
-0.2905561397 1
7.1%
ValueCountFrequency (%)
1.256613603 1
7.1%
0.7809766044 1
7.1%
0.7434729894 1
7.1%
0.3114846703 1
7.1%
0.09991984772 1
7.1%

ustreb10ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2135811319
Minimum-1.61616972
Maximum1.502170828
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:54.407943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.61616972
5-th percentile-1.135953662
Q1-0.8101241808
median-0.4376394276
Q30.3016399139
95-th percentile1.045128309
Maximum1.502170828
Range3.118340547
Interquartile range (IQR)1.111764095

Descriptive statistics

Standard deviation0.8348853063
Coefficient of variation (CV)-3.908984371
Kurtosis-0.05477137008
Mean-0.2135811319
Median Absolute Deviation (MAD)0.4377648481
Skewness0.5014641836
Sum-2.990135846
Variance0.6970334747
MonotonicityNot monotonic
2025-03-30T10:58:54.796329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.61616972 1
 
7.1%
0.7990284919 1
 
7.1%
-0.2606691439 1
 
7.1%
0.04005718227 1
 
7.1%
0.3888341578 1
 
7.1%
0.6917186899 1
 
7.1%
-0.7476020941 1
 
7.1%
1.502170828 1
 
7.1%
-0.6147810737 1
 
7.1%
-0.8309648764 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.61616972 1
7.1%
-0.8773757846 1
7.1%
-0.8479267035 1
7.1%
-0.8309648764 1
7.1%
-0.7476020941 1
7.1%
ValueCountFrequency (%)
1.502170828 1
7.1%
0.7990284919 1
7.1%
0.6917186899 1
7.1%
0.3888341578 1
7.1%
0.04005718227 1
7.1%

ustreb10ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3257065896
Minimum-1.34319822
Maximum1.768402335
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:58:55.210152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.34319822
5-th percentile-1.049684193
Q1-0.3542550482
median0.569357017
Q30.9342987421
95-th percentile1.443228888
Maximum1.768402335
Range3.111600555
Interquartile range (IQR)1.28855379

Descriptive statistics

Standard deviation0.9036698351
Coefficient of variation (CV)2.774490489
Kurtosis-0.6254524701
Mean0.3257065896
Median Absolute Deviation (MAD)0.4687523834
Skewness-0.444536795
Sum4.559892255
Variance0.8166191708
MonotonicityNot monotonic
2025-03-30T10:58:55.611639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.050058031 1
 
7.1%
0.5900232976 1
 
7.1%
1.768402335 1
 
7.1%
-0.7657232733 1
 
7.1%
0.1125532643 1
 
7.1%
0.2505595069 1
 
7.1%
0.5486907365 1
 
7.1%
0.9865091738 1
 
7.1%
-0.509857819 1
 
7.1%
-1.34319822 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.34319822 1
7.1%
-0.8916381788 1
7.1%
-0.7657232733 1
7.1%
-0.509857819 1
7.1%
0.1125532643 1
7.1%
ValueCountFrequency (%)
1.768402335 1
7.1%
1.268135493 1
7.1%
1.050058031 1
7.1%
0.9865091738 1
7.1%
0.7776674467 1
7.1%

ustreb7ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1893844691
Minimum-0.6138270187
Maximum1.628768088
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:58:56.032946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6138270187
5-th percentile-0.5659640253
Q1-0.2527296194
median0.01090488213
Q30.4098880749
95-th percentile1.360701283
Maximum1.628768088
Range2.242595106
Interquartile range (IQR)0.6626176943

Descriptive statistics

Standard deviation0.6468206184
Coefficient of variation (CV)3.415383646
Kurtosis0.6085141918
Mean0.1893844691
Median Absolute Deviation (MAD)0.3144938575
Skewness1.023302266
Sum2.651382567
Variance0.4183769124
MonotonicityNot monotonic
2025-03-30T10:58:56.445327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.05259833657 1
 
7.1%
0.05709198478 1
 
7.1%
-0.03528222051 1
 
7.1%
-0.6138270187 1
 
7.1%
-0.2966521951 1
 
7.1%
1.628768088 1
 
7.1%
0.4549147511 1
 
7.1%
0.7790764274 1
 
7.1%
-0.3105257556 1
 
7.1%
0.210404714 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.6138270187 1
7.1%
-0.5401916442 1
7.1%
-0.3105257556 1
7.1%
-0.2966521951 1
7.1%
-0.1209618922 1
7.1%
ValueCountFrequency (%)
1.628768088 1
7.1%
1.216357618 1
7.1%
0.7790764274 1
7.1%
0.4549147511 1
7.1%
0.2748080465 1
7.1%

ustreb7ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3811925909
Minimum-1.417582584
Maximum1.43485638
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:58:56.873443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.417582584
5-th percentile-1.37320544
Q1-1.08003286
median-0.7100616812
Q30.03490110229
95-th percentile1.372166438
Maximum1.43485638
Range2.852438963
Interquartile range (IQR)1.114933962

Descriptive statistics

Standard deviation0.929244502
Coefficient of variation (CV)-2.437729705
Kurtosis0.001186612006
Mean-0.3811925909
Median Absolute Deviation (MAD)0.4830489214
Skewness0.9799248122
Sum-5.336696272
Variance0.8634953445
MonotonicityNot monotonic
2025-03-30T10:58:57.316555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7625440635 1
 
7.1%
-1.417582584 1
 
7.1%
-0.4620882606 1
 
7.1%
-0.267466117 1
 
7.1%
-1.185862459 1
 
7.1%
1.43485638 1
 
7.1%
1.338410316 1
 
7.1%
-1.200358746 1
 
7.1%
-0.7306436648 1
 
7.1%
-1.349310055 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.417582584 1
7.1%
-1.349310055 1
7.1%
-1.200358746 1
7.1%
-1.185862459 1
7.1%
-0.7625440635 1
7.1%
ValueCountFrequency (%)
1.43485638 1
7.1%
1.338410316 1
7.1%
0.550877944 1
7.1%
0.1356901754 1
7.1%
-0.267466117 1
7.1%

ustreb5ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3398656002
Minimum-2.150524387
Maximum1.825537038
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:58:57.806997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.150524387
5-th percentile-1.779882201
Q1-0.9861555624
median-0.3700414718
Q30.1693387127
95-th percentile1.156717427
Maximum1.825537038
Range3.976061425
Interquartile range (IQR)1.155494275

Descriptive statistics

Standard deviation1.015423271
Coefficient of variation (CV)-2.98772006
Kurtosis0.5484689286
Mean-0.3398656002
Median Absolute Deviation (MAD)0.6513280838
Skewness0.3142104398
Sum-4.758118402
Variance1.03108442
MonotonicityNot monotonic
2025-03-30T10:58:58.279875image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.825537038 1
 
7.1%
-1.58030564 1
 
7.1%
0.5121445265 1
 
7.1%
0.2431497716 1
 
7.1%
-2.150524387 1
 
7.1%
-1.136888763 1
 
7.1%
-0.05209446412 1
 
7.1%
-0.3558997406 1
 
7.1%
-1.059506396 1
 
7.1%
-0.384183203 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.150524387 1
7.1%
-1.58030564 1
7.1%
-1.136888763 1
7.1%
-1.059506396 1
7.1%
-0.7661030619 1
7.1%
ValueCountFrequency (%)
1.825537038 1
7.1%
0.7965837898 1
7.1%
0.5121445265 1
7.1%
0.2431497716 1
7.1%
-0.05209446412 1
7.1%

ustreb5ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3784308522
Minimum-1.689417989
Maximum1.196886764
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:58:58.726807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.689417989
5-th percentile-1.660377844
Q1-1.213421681
median-0.3229031355
Q30.3196314338
95-th percentile0.9447653313
Maximum1.196886764
Range2.886304753
Interquartile range (IQR)1.533053115

Descriptive statistics

Standard deviation0.9339638868
Coefficient of variation (CV)-2.467990866
Kurtosis-1.023449674
Mean-0.3784308522
Median Absolute Deviation (MAD)0.7404275549
Skewness-0.02564303008
Sum-5.298031931
Variance0.8722885418
MonotonicityNot monotonic
2025-03-30T10:58:59.149496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1274285727 1
 
7.1%
-0.120416714 1
 
7.1%
0.8090076368 1
 
7.1%
0.3836990542 1
 
7.1%
0.4513497846 1
 
7.1%
-0.6070849355 1
 
7.1%
-1.415533929 1
 
7.1%
-1.537046084 1
 
7.1%
-1.644740842 1
 
7.1%
-0.6063569769 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.689417989 1
7.1%
-1.644740842 1
7.1%
-1.537046084 1
7.1%
-1.415533929 1
7.1%
-0.6070849355 1
7.1%
ValueCountFrequency (%)
1.196886764 1
7.1%
0.8090076368 1
7.1%
0.4513497846 1
7.1%
0.3836990542 1
7.1%
0.1274285727 1
7.1%

ustreb2ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3915681896
Minimum-0.7411857165
Maximum1.598641669
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:58:59.573199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7411857165
5-th percentile-0.5741212215
Q1-0.0005164260581
median0.2355178958
Q30.831056903
95-th percentile1.475946696
Maximum1.598641669
Range2.339827385
Interquartile range (IQR)0.8315733291

Descriptive statistics

Standard deviation0.6901325467
Coefficient of variation (CV)1.762483687
Kurtosis-0.6905940047
Mean0.3915681896
Median Absolute Deviation (MAD)0.5326782735
Skewness0.1837444489
Sum5.481954655
Variance0.476282932
MonotonicityNot monotonic
2025-03-30T10:58:59.978597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.7707299135 1
 
7.1%
0.2517893908 1
 
7.1%
0.9595886884 1
 
7.1%
0.7656624252 1
 
7.1%
0.2192464008 1
 
7.1%
-0.2477510095 1
 
7.1%
0.1066631033 1
 
7.1%
-0.0118764197 1
 
7.1%
0.8511658995 1
 
7.1%
-0.4841634166 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.7411857165 1
7.1%
-0.4841634166 1
7.1%
-0.2477510095 1
7.1%
-0.0118764197 1
7.1%
0.03356355487 1
7.1%
ValueCountFrequency (%)
1.598641669 1
7.1%
1.409880172 1
7.1%
0.9595886884 1
7.1%
0.8511658995 1
7.1%
0.7707299135 1
7.1%

ustreb2ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2357698735
Minimum-2.330285334
Maximum1.384102469
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)21.4%
Memory size224.0 B
2025-03-30T10:59:00.376477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.330285334
5-th percentile-1.579394769
Q10.05848800055
median0.5133430367
Q30.9521990584
95-th percentile1.375271807
Maximum1.384102469
Range3.714387803
Interquartile range (IQR)0.8937110579

Descriptive statistics

Standard deviation1.087350486
Coefficient of variation (CV)4.611914449
Kurtosis1.045013096
Mean0.2357698735
Median Absolute Deviation (MAD)0.4839731823
Skewness-1.234014856
Sum3.300778229
Variance1.18233108
MonotonicityNot monotonic
2025-03-30T10:59:00.807217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2739637563 1
 
7.1%
1.216844357 1
 
7.1%
-1.147790772 1
 
7.1%
1.384102469 1
 
7.1%
0.8681234728 1
 
7.1%
0.1971183351 1
 
7.1%
0.5015070917 1
 
7.1%
1.370516836 1
 
7.1%
0.6240659748 1
 
7.1%
0.01227788902 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.330285334 1
7.1%
-1.175069081 1
7.1%
-1.147790772 1
7.1%
0.01227788902 1
7.1%
0.1971183351 1
7.1%
ValueCountFrequency (%)
1.384102469 1
7.1%
1.370516836 1
7.1%
1.216844357 1
7.1%
0.9802242536 1
7.1%
0.8681234728 1
7.1%

ustreb1ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1281396559
Minimum-1.224011902
Maximum1.337434108
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:01.250699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.224011902
5-th percentile-1.018732156
Q1-0.6311047197
median0.2000344274
Q30.8841877615
95-th percentile1.090424904
Maximum1.337434108
Range2.56144601
Interquartile range (IQR)1.515292481

Descriptive statistics

Standard deviation0.8331662691
Coefficient of variation (CV)6.502017376
Kurtosis-1.426665033
Mean0.1281396559
Median Absolute Deviation (MAD)0.715034728
Skewness-0.2080227929
Sum1.793955182
Variance0.694166032
MonotonicityNot monotonic
2025-03-30T10:59:01.678409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.337434108 1
 
7.1%
-0.9081969078 1
 
7.1%
-0.4141241148 1
 
7.1%
-0.1804369706 1
 
7.1%
0.8100021142 1
 
7.1%
-0.8000359894 1
 
7.1%
0.2210893704 1
 
7.1%
-0.703431588 1
 
7.1%
0.6891293188 1
 
7.1%
0.9574199478 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.224011902 1
7.1%
-0.9081969078 1
7.1%
-0.8000359894 1
7.1%
-0.703431588 1
7.1%
-0.4141241148 1
7.1%
ValueCountFrequency (%)
1.337434108 1
7.1%
0.9574199478 1
7.1%
0.9212220004 1
7.1%
0.9089163105 1
7.1%
0.8100021142 1
7.1%

ustreb1ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3297377202
Minimum-1.979656908
Maximum2.004465064
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:59:02.137690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.979656908
5-th percentile-1.312128509
Q1-0.4555283503
median0.6462752116
Q31.107411279
95-th percentile1.55015211
Maximum2.004465064
Range3.984121972
Interquartile range (IQR)1.562939629

Descriptive statistics

Standard deviation1.081667921
Coefficient of variation (CV)3.280388789
Kurtosis-0.02391295261
Mean0.3297377202
Median Absolute Deviation (MAD)0.6091548597
Skewness-0.6173747545
Sum4.616328082
Variance1.17000549
MonotonicityNot monotonic
2025-03-30T10:59:02.598954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.305522058 1
 
7.1%
-0.6213716209 1
 
7.1%
0.9170434468 1
 
7.1%
0.08721233905 1
 
7.1%
-1.979656908 1
 
7.1%
2.004465064 1
 
7.1%
1.119000233 1
 
7.1%
1.072644417 1
 
7.1%
-0.2136511869 1
 
7.1%
0.4014332369 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.979656908 1
7.1%
-0.9526901406 1
7.1%
-0.6213716209 1
7.1%
-0.5361540714 1
7.1%
-0.2136511869 1
7.1%
ValueCountFrequency (%)
2.004465064 1
7.1%
1.305522058 1
7.1%
1.121414029 1
7.1%
1.119000233 1
7.1%
1.072644417 1
7.1%

ustret90ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4881509942
Minimum-0.8050848444
Maximum1.689208495
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)21.4%
Memory size224.0 B
2025-03-30T10:59:03.011217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8050848444
5-th percentile-0.5409848026
Q10.06470209783
median0.4553921089
Q30.8919061128
95-th percentile1.538726566
Maximum1.689208495
Range2.49429334
Interquartile range (IQR)0.827204015

Descriptive statistics

Standard deviation0.7160120477
Coefficient of variation (CV)1.466783959
Kurtosis-0.5217955655
Mean0.4881509942
Median Absolute Deviation (MAD)0.4446481943
Skewness0.04055705605
Sum6.834113919
Variance0.5126732524
MonotonicityNot monotonic
2025-03-30T10:59:03.424340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.689208495 1
 
7.1%
-0.3987770878 1
 
7.1%
0.2258041934 1
 
7.1%
1.340444044 1
 
7.1%
-0.08307134704 1
 
7.1%
1.457697835 1
 
7.1%
0.6212335228 1
 
7.1%
0.09429756756 1
 
7.1%
0.6686161119 1
 
7.1%
0.7352244614 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8050848444 1
7.1%
-0.3987770878 1
7.1%
-0.08307134704 1
7.1%
0.05483694125 1
7.1%
0.09429756756 1
7.1%
ValueCountFrequency (%)
1.689208495 1
7.1%
1.457697835 1
7.1%
1.340444044 1
7.1%
0.9441333299 1
7.1%
0.7352244614 1
7.1%

ustret90ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2050457494
Minimum-1.321389757
Maximum1.382084235
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:59:03.846943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.321389757
5-th percentile-0.7121665332
Q1-0.310382271
median0.187135194
Q30.6178067347
95-th percentile1.289340219
Maximum1.382084235
Range2.703473992
Interquartile range (IQR)0.9281890057

Descriptive statistics

Standard deviation0.7437114148
Coefficient of variation (CV)3.627051119
Kurtosis0.07749941296
Mean0.2050457494
Median Absolute Deviation (MAD)0.5139876245
Skewness-0.09044438358
Sum2.870640491
Variance0.5531066686
MonotonicityNot monotonic
2025-03-30T10:59:04.279798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.359043583 1
 
7.1%
0.7015877311 1
 
7.1%
-0.384123259 1
 
7.1%
-0.326387518 1
 
7.1%
0.3664637456 1
 
7.1%
0.1921747921 1
 
7.1%
-0.2623665302 1
 
7.1%
0.2236492053 1
 
7.1%
1.239401133 1
 
7.1%
-1.321389757 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.321389757 1
7.1%
-0.384123259 1
7.1%
-0.359043583 1
7.1%
-0.326387518 1
7.1%
-0.2623665302 1
7.1%
ValueCountFrequency (%)
1.382084235 1
7.1%
1.239401133 1
7.1%
1.176700094 1
7.1%
0.7015877311 1
7.1%
0.3664637456 1
7.1%

ustret30ret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09333201126
Minimum-1.617729059
Maximum1.416828903
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:04.659680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.617729059
5-th percentile-1.560304663
Q1-0.6311080922
median0.01044636367
Q30.6916255411
95-th percentile1.382264465
Maximum1.416828903
Range3.034557962
Interquartile range (IQR)1.322733633

Descriptive statistics

Standard deviation1.022791766
Coefficient of variation (CV)-10.95863843
Kurtosis-1.036927059
Mean-0.09333201126
Median Absolute Deviation (MAD)0.6909594794
Skewness-0.1386142962
Sum-1.306648158
Variance1.046102996
MonotonicityNot monotonic
2025-03-30T10:59:05.055934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.8078064585 1
 
7.1%
-0.4953140048 1
 
7.1%
-1.526083907 1
 
7.1%
1.416828903 1
 
7.1%
0.1077054513 1
 
7.1%
1.363652844 1
 
7.1%
-1.529383834 1
 
7.1%
-0.6454410237 1
 
7.1%
0.7364779351 1
 
7.1%
-0.08681272396 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.617729059 1
7.1%
-1.529383834 1
7.1%
-1.526083907 1
7.1%
-0.6454410237 1
7.1%
-0.5881092978 1
7.1%
ValueCountFrequency (%)
1.416828903 1
7.1%
1.363652844 1
7.1%
0.8078064585 1
7.1%
0.7364779351 1
7.1%
0.5570683591 1
7.1%

ustret30ind
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3441174472
Minimum-1.616513601
Maximum2.041711491
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:05.467606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.616513601
5-th percentile-1.535215948
Q1-1.177519545
median-0.5313535931
Q30.2645012289
95-th percentile1.632869368
Maximum2.041711491
Range3.658225092
Interquartile range (IQR)1.442020774

Descriptive statistics

Standard deviation1.105127197
Coefficient of variation (CV)-3.211482607
Kurtosis0.1829131985
Mean-0.3441174472
Median Absolute Deviation (MAD)0.7704487683
Skewness0.9070129236
Sum-4.817644261
Variance1.221306121
MonotonicityNot monotonic
2025-03-30T10:59:05.910946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.9782208537 1
 
7.1%
-1.160970646 1
 
7.1%
-0.3725708543 1
 
7.1%
2.041711491 1
 
7.1%
-1.491440288 1
 
7.1%
0.1882830677 1
 
7.1%
-1.616513601 1
 
7.1%
-1.381477664 1
 
7.1%
0.3602207202 1
 
7.1%
-1.183035845 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.616513601 1
7.1%
-1.491440288 1
7.1%
-1.381477664 1
7.1%
-1.183035845 1
7.1%
-1.160970646 1
7.1%
ValueCountFrequency (%)
2.041711491 1
7.1%
1.41272361 1
7.1%
0.3602207202 1
7.1%
0.2899072827 1
7.1%
0.1882830677 1
7.1%

ustrecpiret
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1254166852
Minimum-1.720014949
Maximum2.784588199
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:06.354202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.720014949
5-th percentile-1.67227675
Q1-1.130999841
median-0.1261702895
Q30.984969211
95-th percentile2.280878458
Maximum2.784588199
Range4.504603149
Interquartile range (IQR)2.115969052

Descriptive statistics

Standard deviation1.437216487
Coefficient of variation (CV)11.45953176
Kurtosis-0.8201702912
Mean0.1254166852
Median Absolute Deviation (MAD)1.245694813
Skewness0.3689393572
Sum1.755833593
Variance2.065591232
MonotonicityNot monotonic
2025-03-30T10:59:06.755340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.720014949 1
 
7.1%
-0.02899542079 1
 
7.1%
2.784588199 1
 
7.1%
-1.459984798 1
 
7.1%
-0.2233451582 1
 
7.1%
-1.646571566 1
 
7.1%
-1.378103098 1
 
7.1%
-0.3896900688 1
 
7.1%
1.841549476 1
 
7.1%
1.113286528 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.720014949 1
7.1%
-1.646571566 1
7.1%
-1.459984798 1
7.1%
-1.378103098 1
7.1%
-0.3896900688 1
7.1%
ValueCountFrequency (%)
2.784588199 1
7.1%
2.009650136 1
7.1%
1.841549476 1
7.1%
1.113286528 1
7.1%
0.6000172606 1
7.1%

ajexm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2410669837
Minimum-2.065184872
Maximum1.2494571
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:07.145894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.065184872
5-th percentile-1.796452964
Q1-0.8316013216
median-0.1471640942
Q30.5218327233
95-th percentile0.924356482
Maximum1.2494571
Range3.314641972
Interquartile range (IQR)1.353434045

Descriptive statistics

Standard deviation0.949637057
Coefficient of variation (CV)-3.939307832
Kurtosis-0.4203524716
Mean-0.2410669837
Median Absolute Deviation (MAD)0.7403227895
Skewness-0.3885508856
Sum-3.374937772
Variance0.90181054
MonotonicityNot monotonic
2025-03-30T10:59:07.558962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8741473387 1
 
7.1%
0.6064982403 1
 
7.1%
1.2494571 1
 
7.1%
0.08768539306 1
 
7.1%
-0.4925424298 1
 
7.1%
-1.651751168 1
 
7.1%
-0.7039632702 1
 
7.1%
-2.065184872 1
 
7.1%
-0.327242653 1
 
7.1%
0.6889789347 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.065184872 1
7.1%
-1.651751168 1
7.1%
-0.9427786487 1
7.1%
-0.8741473387 1
7.1%
-0.7039632702 1
7.1%
ValueCountFrequency (%)
1.2494571 1
7.1%
0.7493023033 1
7.1%
0.6889789347 1
7.1%
0.6064982403 1
7.1%
0.2678361726 1
7.1%

ajpm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2366540902
Minimum-2.133719027
Maximum1.41670309
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:07.970831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133719027
5-th percentile-1.464519402
Q1-0.7632582682
median-0.2013185644
Q30.1367842991
95-th percentile1.203571336
Maximum1.41670309
Range3.550422117
Interquartile range (IQR)0.9000425673

Descriptive statistics

Standard deviation0.8959323949
Coefficient of variation (CV)-3.785831016
Kurtosis0.8273416865
Mean-0.2366540902
Median Absolute Deviation (MAD)0.4986633166
Skewness-0.09486391911
Sum-3.313157263
Variance0.8026948563
MonotonicityNot monotonic
2025-03-30T10:59:08.382925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5254953029 1
 
7.1%
-0.5103145076 1
 
7.1%
-1.104181143 1
 
7.1%
-2.133719027 1
 
7.1%
0.413193737 1
 
7.1%
-0.04836263658 1
 
7.1%
1.088808084 1
 
7.1%
-0.84251259 1
 
7.1%
-0.1829173739 1
 
7.1%
1.41670309 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.133719027 1
7.1%
-1.104181143 1
7.1%
-0.8487855003 1
7.1%
-0.84251259 1
7.1%
-0.5254953029 1
7.1%
ValueCountFrequency (%)
1.41670309 1
7.1%
1.088808084 1
7.1%
0.413193737 1
7.1%
0.1814957675 1
7.1%
0.002649894001 1
7.1%

cshtrm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09781793393
Minimum-1.552969806
Maximum1.424580071
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:08.779447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.552969806
5-th percentile-1.102734329
Q1-0.3918162262
median-0.03662373911
Q30.2165762807
95-th percentile0.7384875856
Maximum1.424580071
Range2.977549877
Interquartile range (IQR)0.608392507

Descriptive statistics

Standard deviation0.6801066722
Coefficient of variation (CV)-6.952780997
Kurtosis2.060404168
Mean-0.09781793393
Median Absolute Deviation (MAD)0.3248849877
Skewness0.03711757903
Sum-1.369451075
Variance0.4625450856
MonotonicityNot monotonic
2025-03-30T10:59:09.175088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8602998422 1
 
7.1%
-1.552969806 1
 
7.1%
0.3690531703 1
 
7.1%
0.122080877 1
 
7.1%
-0.4706742363 1
 
7.1%
-0.2617049765 1
 
7.1%
0.1764037821 1
 
7.1%
-0.3928285539 1
 
7.1%
0.2299671136 1
 
7.1%
0.1700581915 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.552969806 1
7.1%
-0.8602998422 1
7.1%
-0.4706742363 1
7.1%
-0.3928285539 1
7.1%
-0.3887792432 1
7.1%
ValueCountFrequency (%)
1.424580071 1
7.1%
0.3690531703 1
7.1%
0.2609907322 1
7.1%
0.2299671136 1
7.1%
0.1764037821 1
7.1%

prccm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08131558602
Minimum-1.587890865
Maximum2.458450343
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:09.571352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.587890865
5-th percentile-1.545261471
Q1-0.9083620891
median-0.5056459093
Q30.5897953888
95-th percentile2.119238733
Maximum2.458450343
Range4.046341208
Interquartile range (IQR)1.498157478

Descriptive statistics

Standard deviation1.247721572
Coefficient of variation (CV)-15.34418717
Kurtosis-0.2262916798
Mean-0.08131558602
Median Absolute Deviation (MAD)0.9288796327
Skewness0.7677318434
Sum-1.138418204
Variance1.55680912
MonotonicityNot monotonic
2025-03-30T10:59:10.030823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.6275907323 1
 
7.1%
2.458450343 1
 
7.1%
0.3700580884 1
 
7.1%
-0.7194122128 1
 
7.1%
-0.8278597351 1
 
7.1%
-1.587890865 1
 
7.1%
0.8585905459 1
 
7.1%
1.936586327 1
 
7.1%
-0.9351962071 1
 
7.1%
-1.522307182 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.587890865 1
7.1%
-1.522307182 1
7.1%
-1.186986413 1
7.1%
-0.9351962071 1
7.1%
-0.8278597351 1
7.1%
ValueCountFrequency (%)
2.458450343 1
7.1%
1.936586327 1
7.1%
0.8585905459 1
7.1%
0.6275907323 1
7.1%
0.4764093583 1
7.1%

prchm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4077727599
Minimum-1.319799961
Maximum2.237849259
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:59:10.442376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.319799961
5-th percentile-0.9195766054
Q1-0.1872176995
median0.3751858882
Q30.8703697564
95-th percentile2.001807962
Maximum2.237849259
Range3.55764922
Interquartile range (IQR)1.057587456

Descriptive statistics

Standard deviation0.956345397
Coefficient of variation (CV)2.345290051
Kurtosis0.1176898165
Mean0.4077727599
Median Absolute Deviation (MAD)0.5690509447
Skewness0.2578991359
Sum5.708818638
Variance0.9145965184
MonotonicityNot monotonic
2025-03-30T10:59:10.864872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2863984815 1
 
7.1%
0.6885633679 1
 
7.1%
0.6475894731 1
 
7.1%
1.096638943 1
 
7.1%
1.874708803 1
 
7.1%
2.237849259 1
 
7.1%
-1.319799961 1
 
7.1%
0.1270060853 1
 
7.1%
0.9309718859 1
 
7.1%
0.2079896629 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.319799961 1
7.1%
-0.7040717217 1
7.1%
-0.2863984815 1
7.1%
-0.2071300035 1
7.1%
-0.1274807875 1
7.1%
ValueCountFrequency (%)
2.237849259 1
7.1%
1.874708803 1
7.1%
1.096638943 1
7.1%
0.9309718859 1
7.1%
0.6885633679 1
7.1%

prclm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.217298476
Minimum-2.106283817
Maximum0.9014621348
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:11.265971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.106283817
5-th percentile-1.819451439
Q1-0.5660115359
median-0.0009292718684
Q30.3947130234
95-th percentile0.8654440619
Maximum0.9014621348
Range3.007745952
Interquartile range (IQR)0.9607245593

Descriptive statistics

Standard deviation0.8831806038
Coefficient of variation (CV)-4.064366304
Kurtosis0.3126521464
Mean-0.217298476
Median Absolute Deviation (MAD)0.4888008968
Skewness-0.8707902581
Sum-3.042178664
Variance0.7800079789
MonotonicityNot monotonic
2025-03-30T10:59:12.202014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4676993729 1
 
7.1%
-0.5873741147 1
 
7.1%
-1.665003235 1
 
7.1%
0.8460497149 1
 
7.1%
0.02713384818 1
 
7.1%
-0.4775365377 1
 
7.1%
-2.106283817 1
 
7.1%
0.1814722169 1
 
7.1%
0.9014621348 1
 
7.1%
-0.02899239192 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.106283817 1
7.1%
-1.665003235 1
7.1%
-0.8404212883 1
7.1%
-0.5873741147 1
7.1%
-0.5019237996 1
7.1%
ValueCountFrequency (%)
0.9014621348 1
7.1%
0.8460497149 1
7.1%
0.4676993729 1
7.1%
0.4186564307 1
7.1%
0.3228828016 1
7.1%

trfm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2682616053
Minimum-1.443329445
Maximum1.576988437
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:12.614462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.443329445
5-th percentile-1.41173613
Q1-1.163908439
median-0.2635319727
Q30.2687697028
95-th percentile1.173905461
Maximum1.576988437
Range3.020317882
Interquartile range (IQR)1.432678142

Descriptive statistics

Standard deviation0.9434599607
Coefficient of variation (CV)-3.516939964
Kurtosis-0.6775657539
Mean-0.2682616053
Median Absolute Deviation (MAD)0.8227299115
Skewness0.3410948125
Sum-3.755662475
Variance0.8901166975
MonotonicityNot monotonic
2025-03-30T10:59:12.995059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.147010815 1
 
7.1%
-1.394724345 1
 
7.1%
-1.16954098 1
 
7.1%
-0.2498223151 1
 
7.1%
0.2264292112 1
 
7.1%
1.576988437 1
 
7.1%
-1.443329445 1
 
7.1%
0.08681166616 1
 
7.1%
0.9568607817 1
 
7.1%
0.2828832 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.443329445 1
7.1%
-1.394724345 1
7.1%
-1.345658079 1
7.1%
-1.16954098 1
7.1%
-1.147010815 1
7.1%
ValueCountFrequency (%)
1.576988437 1
7.1%
0.9568607817 1
7.1%
0.4984490079 1
7.1%
0.2828832 1
7.1%
0.2264292112 1
7.1%

trt1m
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1262882381
Minimum-1.509239404
Maximum1.29470491
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:13.407501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.509239404
5-th percentile-1.451635164
Q1-0.6803600498
median-0.1793364569
Q30.268617662
95-th percentile1.283865693
Maximum1.29470491
Range2.803944314
Interquartile range (IQR)0.9489777118

Descriptive statistics

Standard deviation0.8663240513
Coefficient of variation (CV)-6.859894983
Kurtosis-0.4645412451
Mean-0.1262882381
Median Absolute Deviation (MAD)0.5213370476
Skewness0.1541079168
Sum-1.768035334
Variance0.7505173619
MonotonicityNot monotonic
2025-03-30T10:59:13.772364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.521326736 1
 
7.1%
-0.1911845623 1
 
7.1%
-1.420617497 1
 
7.1%
0.3093029408 1
 
7.1%
-0.3471419702 1
 
7.1%
-0.1674883515 1
 
7.1%
0.1465618256 1
 
7.1%
-0.7929604451 1
 
7.1%
0.09646564281 1
 
7.1%
-0.7333711544 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.509239404 1
7.1%
-1.420617497 1
7.1%
-0.7929604451 1
7.1%
-0.7333711544 1
7.1%
-0.521326736 1
7.1%
ValueCountFrequency (%)
1.29470491 1
7.1%
1.278029192 1
7.1%
0.7902302757 1
7.1%
0.3093029408 1
7.1%
0.1465618256 1
7.1%

index_y
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06911217909
Minimum-1.473026739
Maximum1.090518754
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:14.200919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.473026739
5-th percentile-1.202073573
Q1-0.6283362547
median-0.001247581736
Q30.5836483217
95-th percentile0.8112322248
Maximum1.090518754
Range2.563545492
Interquartile range (IQR)1.211984576

Descriptive statistics

Standard deviation0.764701307
Coefficient of variation (CV)-11.06463893
Kurtosis-0.8219366693
Mean-0.06911217909
Median Absolute Deviation (MAD)0.6515576615
Skewness-0.3896738205
Sum-0.9675705073
Variance0.5847680889
MonotonicityNot monotonic
2025-03-30T10:59:14.629395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.07061581032 1
 
7.1%
0.6596335484 1
 
7.1%
1.090518754 1
 
7.1%
0.6409866112 1
 
7.1%
-1.473026739 1
 
7.1%
0.3100689367 1
 
7.1%
-0.1763084826 1
 
7.1%
-0.9843124334 1
 
7.1%
0.06812064685 1
 
7.1%
0.4116334534 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.473026739 1
7.1%
-1.056175715 1
7.1%
-0.9843124334 1
7.1%
-0.7322022853 1
7.1%
-0.3167381628 1
7.1%
ValueCountFrequency (%)
1.090518754 1
7.1%
0.6608471708 1
7.1%
0.6596335484 1
7.1%
0.6409866112 1
7.1%
0.4116334534 1
7.1%

CAPEI
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01578683896
Minimum-1.795329085
Maximum2.827323901
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:15.025933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.795329085
5-th percentile-1.539639483
Q1-1.076897792
median-0.1936887924
Q30.5283211325
95-th percentile2.607637892
Maximum2.827323901
Range4.622652985
Interquartile range (IQR)1.605218924

Descriptive statistics

Standard deviation1.391132521
Coefficient of variation (CV)-88.11976384
Kurtosis0.1892984101
Mean-0.01578683896
Median Absolute Deviation (MAD)0.8272886165
Skewness0.893069352
Sum-0.2210157455
Variance1.935249692
MonotonicityNot monotonic
2025-03-30T10:59:15.486178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.401960467 1
 
7.1%
0.5528956075 1
 
7.1%
-1.795329085 1
 
7.1%
-0.8231090071 1
 
7.1%
0.2953367313 1
 
7.1%
0.4545977073 1
 
7.1%
-1.132527093 1
 
7.1%
-1.143133001 1
 
7.1%
0.7143040407 1
 
7.1%
0.3339636993 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.795329085 1
7.1%
-1.401960467 1
7.1%
-1.143133001 1
7.1%
-1.132527093 1
7.1%
-0.9100098885 1
7.1%
ValueCountFrequency (%)
2.827323901 1
7.1%
2.489345425 1
7.1%
0.7143040407 1
7.1%
0.5528956075 1
7.1%
0.4545977073 1
7.1%

bm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3147807695
Minimum-2.259237014
Maximum2.745158353
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:59:15.882288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.259237014
5-th percentile-1.787660121
Q1-0.5031727372
median0.4837063448
Q31.075935678
95-th percentile2.172486196
Maximum2.745158353
Range5.004395367
Interquartile range (IQR)1.579108415

Descriptive statistics

Standard deviation1.331687712
Coefficient of variation (CV)4.230524354
Kurtosis0.0590661644
Mean0.3147807695
Median Absolute Deviation (MAD)0.8265820522
Skewness-0.2335184308
Sum4.406930773
Variance1.773392161
MonotonicityNot monotonic
2025-03-30T10:59:16.293486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.7130775595 1
 
7.1%
-0.3874521837 1
 
7.1%
0.3888786166 1
 
7.1%
2.745158353 1
 
7.1%
-1.533734102 1
 
7.1%
1.265711921 1
 
7.1%
-0.541746255 1
 
7.1%
-2.259237014 1
 
7.1%
1.137498303 1
 
7.1%
-0.8440091845 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.259237014 1
7.1%
-1.533734102 1
7.1%
-0.8440091845 1
7.1%
-0.541746255 1
7.1%
-0.3874521837 1
7.1%
ValueCountFrequency (%)
2.745158353 1
7.1%
1.864124265 1
7.1%
1.265711921 1
7.1%
1.137498303 1
7.1%
0.8912478044 1
7.1%

evm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2922463898
Minimum-2.542997264
Maximum1.757644632
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:16.678661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.542997264
5-th percentile-2.138877401
Q1-1.093740344
median-0.1588329986
Q30.4145042264
95-th percentile1.740351869
Maximum1.757644632
Range4.300641896
Interquartile range (IQR)1.508244571

Descriptive statistics

Standard deviation1.284496778
Coefficient of variation (CV)-4.395252853
Kurtosis-0.4596594984
Mean-0.2922463898
Median Absolute Deviation (MAD)0.7099009201
Skewness-0.1103028108
Sum-4.091449457
Variance1.649931974
MonotonicityNot monotonic
2025-03-30T10:59:17.039656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2056772729 1
 
7.1%
1.731040381 1
 
7.1%
1.757644632 1
 
7.1%
-2.542997264 1
 
7.1%
0.1179245676 1
 
7.1%
0.2959982287 1
 
7.1%
-1.152195301 1
 
7.1%
-1.891304152 1
 
7.1%
0.4540062256 1
 
7.1%
0.5014263668 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.542997264 1
7.1%
-1.921274398 1
7.1%
-1.891304152 1
7.1%
-1.152195301 1
7.1%
-0.9183754734 1
7.1%
ValueCountFrequency (%)
1.757644632 1
7.1%
1.731040381 1
7.1%
0.5014263668 1
7.1%
0.4540062256 1
7.1%
0.2959982287 1
7.1%

pe_op_basic
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1228657692
Minimum-2.185487736
Maximum1.551281199
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:17.420588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.185487736
5-th percentile-1.7087563
Q1-0.6050002143
median-0.1966772736
Q30.3105436074
95-th percentile1.344510996
Maximum1.551281199
Range3.736768935
Interquartile range (IQR)0.9155438217

Descriptive statistics

Standard deviation1.017007069
Coefficient of variation (CV)-8.277383323
Kurtosis0.1414178941
Mean-0.1228657692
Median Absolute Deviation (MAD)0.5074031127
Skewness-0.2468088834
Sum-1.720120769
Variance1.034303378
MonotonicityNot monotonic
2025-03-30T10:59:17.849118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2823899916 1
 
7.1%
0.3265080977 1
 
7.1%
0.1319035287 1
 
7.1%
1.233173195 1
 
7.1%
1.551281199 1
 
7.1%
-0.6882981278 1
 
7.1%
-0.9053468836 1
 
7.1%
-2.185487736 1
 
7.1%
1.036401591 1
 
7.1%
0.2626501368 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.185487736 1
7.1%
-1.452054757 1
7.1%
-0.9053468836 1
7.1%
-0.6882981278 1
7.1%
-0.3551064735 1
7.1%
ValueCountFrequency (%)
1.551281199 1
7.1%
1.233173195 1
7.1%
1.036401591 1
7.1%
0.3265080977 1
7.1%
0.2626501368 1
7.1%

pe_op_dil
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05026135508
Minimum-3.046424521
Maximum1.178308245
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:18.293582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.046424521
5-th percentile-1.925500404
Q1-0.3831964154
median0.03575354178
Q30.8692770277
95-th percentile1.157481108
Maximum1.178308245
Range4.224732766
Interquartile range (IQR)1.252473443

Descriptive statistics

Standard deviation1.134256021
Coefficient of variation (CV)-22.56715958
Kurtosis2.868371974
Mean-0.05026135508
Median Absolute Deviation (MAD)0.4904169017
Skewness-1.393787261
Sum-0.7036589711
Variance1.286536721
MonotonicityNot monotonic
2025-03-30T10:59:18.673582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.178308245 1
 
7.1%
-0.3320016723 1
 
7.1%
1.106729284 1
 
7.1%
-1.32192588 1
 
7.1%
0.4209946183 1
 
7.1%
-0.4002613298 1
 
7.1%
0.1298985376 1
 
7.1%
1.146266495 1
 
7.1%
-0.04571500668 1
 
7.1%
1.018704498 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.046424521 1
7.1%
-1.32192588 1
7.1%
-0.50906539 1
7.1%
-0.4002613298 1
7.1%
-0.3320016723 1
7.1%
ValueCountFrequency (%)
1.178308245 1
7.1%
1.146266495 1
7.1%
1.106729284 1
7.1%
1.018704498 1
7.1%
0.4209946183 1
7.1%

pe_exi
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1496324345
Minimum-1.164748992
Maximum1.304547985
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:19.037374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.164748992
5-th percentile-0.9209123241
Q1-0.4125530413
median0.1508477655
Q30.9320084764
95-th percentile1.219295985
Maximum1.304547985
Range2.469296977
Interquartile range (IQR)1.344561518

Descriptive statistics

Standard deviation0.7917227648
Coefficient of variation (CV)5.291117312
Kurtosis-1.213529903
Mean0.1496324345
Median Absolute Deviation (MAD)0.6813554898
Skewness0.01689661728
Sum2.094854083
Variance0.6268249364
MonotonicityNot monotonic
2025-03-30T10:59:19.485590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.003395508 1
 
7.1%
-0.180757578 1
 
7.1%
-0.6421477929 1
 
7.1%
0.1678423056 1
 
7.1%
-1.164748992 1
 
7.1%
-0.4188676556 1
 
7.1%
1.015881184 1
 
7.1%
0.1594684144 1
 
7.1%
-0.3936091985 1
 
7.1%
0.1422271167 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.164748992 1
7.1%
-0.7896156566 1
7.1%
-0.6421477929 1
7.1%
-0.4188676556 1
7.1%
-0.3936091985 1
7.1%
ValueCountFrequency (%)
1.304547985 1
7.1%
1.173391061 1
7.1%
1.015881184 1
7.1%
1.003395508 1
7.1%
0.7178473826 1
7.1%

pe_inc
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4245275991
Minimum-1.906553177
Maximum0.6296611589
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:19.886617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.906553177
5-th percentile-1.904893665
Q1-0.7824026617
median-0.4200852733
Q30.3883603819
95-th percentile0.5343677208
Maximum0.6296611589
Range2.536214336
Interquartile range (IQR)1.170763044

Descriptive statistics

Standard deviation0.9004905329
Coefficient of variation (CV)-2.121158989
Kurtosis-0.9126578128
Mean-0.4245275991
Median Absolute Deviation (MAD)0.7782267042
Skewness-0.6014397137
Sum-5.943386388
Variance0.8108831998
MonotonicityNot monotonic
2025-03-30T10:59:20.318845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5333327227 1
 
7.1%
0.4646583318 1
 
7.1%
0.6296611589 1
 
7.1%
0.1327537381 1
 
7.1%
-1.904000082 1
 
7.1%
0.2977035288 1
 
7.1%
-0.5629587314 1
 
7.1%
-0.3068378239 1
 
7.1%
0.4830558695 1
 
7.1%
-1.703342403 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.906553177 1
7.1%
-1.904000082 1
7.1%
-1.703342403 1
7.1%
-0.8384186197 1
7.1%
-0.6143547879 1
7.1%
ValueCountFrequency (%)
0.6296611589 1
7.1%
0.4830558695 1
7.1%
0.4646583318 1
7.1%
0.4185793329 1
7.1%
0.2977035288 1
7.1%

ps
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1193789914
Minimum-1.611916017
Maximum1.671492718
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:20.700134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.611916017
5-th percentile-1.331183316
Q1-0.6043429133
median-0.06319246419
Q30.1652580222
95-th percentile1.28951578
Maximum1.671492718
Range3.283408735
Interquartile range (IQR)0.7696009355

Descriptive statistics

Standard deviation0.8626369175
Coefficient of variation (CV)-7.226036235
Kurtosis0.39730461
Mean-0.1193789914
Median Absolute Deviation (MAD)0.5138124122
Skewness0.3731481968
Sum-1.67130588
Variance0.7441424515
MonotonicityNot monotonic
2025-03-30T10:59:21.096163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1394886816 1
 
7.1%
0.5219790472 1
 
7.1%
-0.5223288027 1
 
7.1%
-0.6316809502 1
 
7.1%
-1.180019554 1
 
7.1%
0.1738478024 1
 
7.1%
-0.102206771 1
 
7.1%
0.08674303782 1
 
7.1%
-0.846707779 1
 
7.1%
-0.4296550246 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.611916017 1
7.1%
-1.180019554 1
7.1%
-0.846707779 1
7.1%
-0.6316809502 1
7.1%
-0.5223288027 1
7.1%
ValueCountFrequency (%)
1.671492718 1
7.1%
1.08383589 1
7.1%
0.5219790472 1
7.1%
0.1738478024 1
7.1%
0.1394886816 1
7.1%

pcf
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3237611489
Minimum-2.666566542
Maximum1.628812614
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:21.492213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.666566542
5-th percentile-1.781074921
Q1-0.9489465474
median-0.3878282151
Q30.06803780713
95-th percentile1.45195558
Maximum1.628812614
Range4.295379157
Interquartile range (IQR)1.016984355

Descriptive statistics

Standard deviation1.119991439
Coefficient of variation (CV)-3.459313887
Kurtosis0.5547645549
Mean-0.3237611489
Median Absolute Deviation (MAD)0.5341537095
Skewness-0.02366610878
Sum-4.532656085
Variance1.254380823
MonotonicityNot monotonic
2025-03-30T10:59:21.872984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.9236752133 1
 
7.1%
0.08311097156 1
 
7.1%
-0.9795348136 1
 
7.1%
-0.2098580286 1
 
7.1%
-2.666566542 1
 
7.1%
1.628812614 1
 
7.1%
0.02281831383 1
 
7.1%
-0.3230231456 1
 
7.1%
1.356724868 1
 
7.1%
-1.304271741 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.666566542 1
7.1%
-1.304271741 1
7.1%
-0.9795348136 1
7.1%
-0.9759111702 1
7.1%
-0.8680526791 1
7.1%
ValueCountFrequency (%)
1.628812614 1
7.1%
1.356724868 1
7.1%
0.9236752133 1
7.1%
0.08311097156 1
7.1%
0.02281831383 1
7.1%

npm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.199481469
Minimum-1.725496221
Maximum1.373376392
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:22.265061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.725496221
5-th percentile-1.358609583
Q1-0.7203885653
median-0.2010989369
Q30.2089109147
95-th percentile1.120983587
Maximum1.373376392
Range3.098872613
Interquartile range (IQR)0.92929948

Descriptive statistics

Standard deviation0.8284528744
Coefficient of variation (CV)-4.15303175
Kurtosis0.06350354624
Mean-0.199481469
Median Absolute Deviation (MAD)0.5070591493
Skewness0.116336543
Sum-2.792740566
Variance0.6863341651
MonotonicityNot monotonic
2025-03-30T10:59:22.644909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4883652496 1
 
7.1%
-0.7977296705 1
 
7.1%
0.1588258992 1
 
7.1%
-1.725496221 1
 
7.1%
1.373376392 1
 
7.1%
-1.161055239 1
 
7.1%
-0.08841113715 1
 
7.1%
0.2256059199 1
 
7.1%
0.006718947997 1
 
7.1%
-0.3137867367 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.725496221 1
7.1%
-1.161055239 1
7.1%
-0.9723254614 1
7.1%
-0.7977296705 1
7.1%
-0.4883652496 1
7.1%
ValueCountFrequency (%)
1.373376392 1
7.1%
0.9850797695 1
7.1%
0.3863145048 1
7.1%
0.2256059199 1
7.1%
0.1588258992 1
7.1%

opmbd
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3512881316
Minimum-2.357835743
Maximum1.381527811
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:23.040708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.357835743
5-th percentile-2.304870359
Q1-0.8303701265
median-0.4127398122
Q30.2572422861
95-th percentile1.315516341
Maximum1.381527811
Range3.739363554
Interquartile range (IQR)1.087612413

Descriptive statistics

Standard deviation1.110848577
Coefficient of variation (CV)-3.162214936
Kurtosis-0.01057759712
Mean-0.3512881316
Median Absolute Deviation (MAD)0.5863844946
Skewness-0.318490049
Sum-4.918033842
Variance1.23398456
MonotonicityNot monotonic
2025-03-30T10:59:23.516520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5158187306 1
 
7.1%
0.3176471237 1
 
7.1%
1.381527811 1
 
7.1%
-0.9177991865 1
 
7.1%
-0.4885307017 1
 
7.1%
-2.276350537 1
 
7.1%
-2.357835743 1
 
7.1%
-0.07783594982 1
 
7.1%
1.279971703 1
 
7.1%
-0.3369489226 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.357835743 1
7.1%
-2.276350537 1
7.1%
-1.080449427 1
7.1%
-0.9177991865 1
7.1%
-0.5680829463 1
7.1%
ValueCountFrequency (%)
1.381527811 1
7.1%
1.279971703 1
7.1%
0.6464438914 1
7.1%
0.3176471237 1
7.1%
0.07602777318 1
7.1%

opmad
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3417036214
Minimum-0.737567571
Maximum1.701792102
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:23.957512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.737567571
5-th percentile-0.6611039104
Q1-0.2493347949
median0.1696329475
Q30.7328226703
95-th percentile1.698982989
Maximum1.701792102
Range2.439359673
Interquartile range (IQR)0.9821574653

Descriptive statistics

Standard deviation0.8364348423
Coefficient of variation (CV)2.447837219
Kurtosis-0.8840216855
Mean0.3417036214
Median Absolute Deviation (MAD)0.5353342355
Skewness0.5135448254
Sum4.783850699
Variance0.6996232454
MonotonicityNot monotonic
2025-03-30T10:59:24.353683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.31069255 1
 
7.1%
1.701792102 1
 
7.1%
1.697470389 1
 
7.1%
-0.737567571 1
 
7.1%
1.505930024 1
 
7.1%
0.7640295328 1
 
7.1%
0.639202083 1
 
7.1%
-0.5727471031 1
 
7.1%
-0.61993117 1
 
7.1%
-0.07742236497 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.737567571 1
7.1%
-0.61993117 1
7.1%
-0.5727471031 1
7.1%
-0.3066389383 1
7.1%
-0.07742236497 1
7.1%
ValueCountFrequency (%)
1.701792102 1
7.1%
1.697470389 1
7.1%
1.505930024 1
7.1%
0.7640295328 1
7.1%
0.639202083 1
7.1%

gpm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05649165635
Minimum-1.996970886
Maximum2.655760449
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:24.734302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.996970886
5-th percentile-1.839327821
Q1-1.195861875
median0.03729274457
Q30.7325649722
95-th percentile2.447902618
Maximum2.655760449
Range4.652731334
Interquartile range (IQR)1.928426847

Descriptive statistics

Standard deviation1.499124085
Coefficient of variation (CV)26.53708852
Kurtosis-0.88565714
Mean0.05649165635
Median Absolute Deviation (MAD)1.085683392
Skewness0.360599566
Sum0.7908831889
Variance2.247373024
MonotonicityNot monotonic
2025-03-30T10:59:25.131039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.6080786456 1
 
7.1%
0.4507684445 1
 
7.1%
0.660206057 1
 
7.1%
-1.514141819 1
 
7.1%
-0.753448192 1
 
7.1%
-1.343333102 1
 
7.1%
-0.1824714805 1
 
7.1%
-1.996970886 1
 
7.1%
0.2570569696 1
 
7.1%
2.33597917 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.996970886 1
7.1%
-1.754443093 1
7.1%
-1.514141819 1
7.1%
-1.343333102 1
7.1%
-0.753448192 1
7.1%
ValueCountFrequency (%)
2.655760449 1
7.1%
2.33597917 1
7.1%
1.827314706 1
7.1%
0.7566846106 1
7.1%
0.660206057 1
7.1%

ptpm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1998807552
Minimum-1.029705123
Maximum2.264614031
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:25.500961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.029705123
5-th percentile-0.9361975013
Q1-0.576935634
median0.1120354127
Q30.685879919
95-th percentile1.707226817
Maximum2.264614031
Range3.294319154
Interquartile range (IQR)1.262815553

Descriptive statistics

Standard deviation0.951986274
Coefficient of variation (CV)4.76277105
Kurtosis0.05597824647
Mean0.1998807552
Median Absolute Deviation (MAD)0.6838484253
Skewness0.6538318522
Sum2.798330572
Variance0.906277866
MonotonicityNot monotonic
2025-03-30T10:59:25.907670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.6786976611 1
 
7.1%
2.264614031 1
 
7.1%
0.4348033969 1
 
7.1%
0.6889991894 1
 
7.1%
0.990083164 1
 
7.1%
0.2482299351 1
 
7.1%
-0.2716495524 1
 
7.1%
0.676522108 1
 
7.1%
1.40709524 1
 
7.1%
-1.029705123 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.029705123 1
7.1%
-0.8858472434 1
7.1%
-0.7999318716 1
7.1%
-0.6786976611 1
7.1%
-0.2716495524 1
7.1%
ValueCountFrequency (%)
2.264614031 1
7.1%
1.40709524 1
7.1%
0.990083164 1
7.1%
0.6889991894 1
7.1%
0.676522108 1
7.1%

cfm
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5335991267
Minimum-0.9774811298
Maximum2.22081912
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)35.7%
Memory size224.0 B
2025-03-30T10:59:26.318929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9774811298
5-th percentile-0.8058754677
Q1-0.3459625334
median0.3453069595
Q31.409664364
95-th percentile2.018110524
Maximum2.22081912
Range3.19830025
Interquartile range (IQR)1.755626897

Descriptive statistics

Standard deviation1.050333305
Coefficient of variation (CV)1.968393973
Kurtosis-1.352588978
Mean0.5335991267
Median Absolute Deviation (MAD)0.9426293173
Skewness0.1527552475
Sum7.470387774
Variance1.103200051
MonotonicityNot monotonic
2025-03-30T10:59:26.718070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.288532339 1
 
7.1%
0.29237534 1
 
7.1%
0.2426443401 1
 
7.1%
1.450041705 1
 
7.1%
-0.9774811298 1
 
7.1%
-0.2784930683 1
 
7.1%
0.9390872555 1
 
7.1%
1.664314621 1
 
7.1%
1.908959741 1
 
7.1%
-0.5967262955 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9774811298 1
7.1%
-0.713472419 1
7.1%
-0.5967262955 1
7.1%
-0.3684523552 1
7.1%
-0.2784930683 1
7.1%
ValueCountFrequency (%)
2.22081912 1
7.1%
1.908959741 1
7.1%
1.664314621 1
7.1%
1.450041705 1
7.1%
1.288532339 1
7.1%

roa
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2846312144
Minimum-1.752647016
Maximum1.460416609
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:27.130974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.752647016
5-th percentile-1.483125908
Q1-1.131229809
median-0.3184545233
Q30.4374516655
95-th percentile0.9724519303
Maximum1.460416609
Range3.213063625
Interquartile range (IQR)1.568681475

Descriptive statistics

Standard deviation0.9385898326
Coefficient of variation (CV)-3.297564656
Kurtosis-0.8247443439
Mean-0.2846312144
Median Absolute Deviation (MAD)0.8576015588
Skewness0.147706382
Sum-3.984837002
Variance0.8809508739
MonotonicityNot monotonic
2025-03-30T10:59:27.511054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.752647016 1
 
7.1%
-1.337999158 1
 
7.1%
0.6060501673 1
 
7.1%
0.4799958521 1
 
7.1%
0.3098191056 1
 
7.1%
1.460416609 1
 
7.1%
-1.278930629 1
 
7.1%
0.7097017189 1
 
7.1%
-0.2670080012 1
 
7.1%
-0.8192974398 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.752647016 1
7.1%
-1.337999158 1
7.1%
-1.278930629 1
7.1%
-1.235207266 1
7.1%
-0.8192974398 1
7.1%
ValueCountFrequency (%)
1.460416609 1
7.1%
0.7097017189 1
7.1%
0.6060501673 1
7.1%
0.4799958521 1
7.1%
0.3098191056 1
7.1%

roe
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1933819035
Minimum-1.272098983
Maximum2.311076341
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:27.907812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.272098983
5-th percentile-1.13536404
Q1-0.7075509792
median0.06387719407
Q31.09663549
95-th percentile1.805337686
Maximum2.311076341
Range3.583175324
Interquartile range (IQR)1.804186469

Descriptive statistics

Standard deviation1.096841237
Coefficient of variation (CV)5.671891821
Kurtosis-0.7216709875
Mean0.1933819035
Median Absolute Deviation (MAD)0.9860631927
Skewness0.4441125656
Sum2.707346649
Variance1.203060699
MonotonicityNot monotonic
2025-03-30T10:59:28.319646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.061737532 1
 
7.1%
1.328001514 1
 
7.1%
0.3106272544 1
 
7.1%
-0.341553332 1
 
7.1%
1.533016872 1
 
7.1%
1.292747632 1
 
7.1%
0.5082990661 1
 
7.1%
0.2372516871 1
 
7.1%
-0.1844145737 1
 
7.1%
-0.109497299 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.272098983 1
7.1%
-1.061737532 1
7.1%
-1.014821802 1
7.1%
-0.8295501949 1
7.1%
-0.341553332 1
7.1%
ValueCountFrequency (%)
2.311076341 1
7.1%
1.533016872 1
7.1%
1.328001514 1
7.1%
1.292747632 1
7.1%
0.5082990661 1
7.1%

roce
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3654062141
Minimum-1.629189846
Maximum2.559977906
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)78.6%
Memory size224.0 B
2025-03-30T10:59:28.731302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.629189846
5-th percentile-1.525903241
Q1-0.9880036893
median-0.5827525084
Q3-0.02318919805
95-th percentile1.202876122
Maximum2.559977906
Range4.189167751
Interquartile range (IQR)0.9648144912

Descriptive statistics

Standard deviation1.083612904
Coefficient of variation (CV)-2.965502124
Kurtosis3.256243944
Mean-0.3654062141
Median Absolute Deviation (MAD)0.5569234475
Skewness1.479896714
Sum-5.115686997
Variance1.174216925
MonotonicityNot monotonic
2025-03-30T10:59:29.110529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.0360683 1
 
7.1%
-1.458372443 1
 
7.1%
-0.8284267816 1
 
7.1%
2.559977906 1
 
7.1%
-0.843809857 1
 
7.1%
-0.03110878678 1
 
7.1%
-0.02054933514 1
 
7.1%
-0.7640226228 1
 
7.1%
0.432843131 1
 
7.1%
-1.629189846 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.629189846 1
7.1%
-1.470287377 1
7.1%
-1.458372443 1
7.1%
-1.0360683 1
7.1%
-0.843809857 1
7.1%
ValueCountFrequency (%)
2.559977906 1
7.1%
0.4721290072 1
7.1%
0.432843131 1
7.1%
-0.02054933514 1
7.1%
-0.03110878678 1
7.1%

aftret_eq
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05862487636
Minimum-1.941749442
Maximum1.143093549
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:29.474418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.941749442
5-th percentile-1.319823493
Q1-0.4764352804
median0.1601500231
Q30.8266761133
95-th percentile1.084375585
Maximum1.143093549
Range3.084842991
Interquartile range (IQR)1.303111394

Descriptive statistics

Standard deviation0.9260441241
Coefficient of variation (CV)15.79609513
Kurtosis-0.1869191395
Mean0.05862487636
Median Absolute Deviation (MAD)0.6647718788
Skewness-0.7097709194
Sum0.8207482691
Variance0.8575577197
MonotonicityNot monotonic
2025-03-30T10:59:29.921173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4086936161 1
 
7.1%
-0.9043714979 1
 
7.1%
1.05275822 1
 
7.1%
0.1072342775 1
 
7.1%
-1.941749442 1
 
7.1%
0.2130657687 1
 
7.1%
0.8305279225 1
 
7.1%
0.8151206855 1
 
7.1%
-0.4990158351 1
 
7.1%
-0.9849402894 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.941749442 1
7.1%
-0.9849402894 1
7.1%
-0.9043714979 1
7.1%
-0.4990158351 1
7.1%
-0.4086936161 1
7.1%
ValueCountFrequency (%)
1.143093549 1
7.1%
1.05275822 1
7.1%
0.901897261 1
7.1%
0.8305279225 1
7.1%
0.8151206855 1
7.1%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1314567867
Minimum-1.993091192
Maximum1.513889688
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:30.325462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.993091192
5-th percentile-1.425990355
Q1-0.4973916955
median0.4750012418
Q30.8231440828
95-th percentile1.212303647
Maximum1.513889688
Range3.50698088
Interquartile range (IQR)1.320535778

Descriptive statistics

Standard deviation0.9884875342
Coefficient of variation (CV)7.519486508
Kurtosis-0.06395178021
Mean0.1314567867
Median Absolute Deviation (MAD)0.569155488
Skewness-0.7377833259
Sum1.840395014
Variance0.9771076052
MonotonicityNot monotonic
2025-03-30T10:59:30.837462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.6520381052 1
 
7.1%
-1.120628366 1
 
7.1%
-1.993091192 1
 
7.1%
0.7399146447 1
 
7.1%
-0.08839981199 1
 
7.1%
1.022098055 1
 
7.1%
-0.3598654138 1
 
7.1%
0.4373205088 1
 
7.1%
1.513889688 1
 
7.1%
1.049911164 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.993091192 1
7.1%
-1.120628366 1
7.1%
-0.8331277811 1
7.1%
-0.5432337894 1
7.1%
-0.3598654138 1
7.1%
ValueCountFrequency (%)
1.513889688 1
7.1%
1.049911164 1
7.1%
1.022098055 1
7.1%
0.8508872288 1
7.1%
0.7399146447 1
7.1%

aftret_equity
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04177442997
Minimum-1.997992078
Maximum1.088178014
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:31.277626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.997992078
5-th percentile-1.096755335
Q1-0.3986225648
median0.09644308689
Q30.6272330903
95-th percentile0.9412220965
Maximum1.088178014
Range3.086170092
Interquartile range (IQR)1.025855655

Descriptive statistics

Standard deviation0.803909491
Coefficient of variation (CV)19.24405651
Kurtosis1.968077669
Mean0.04177442997
Median Absolute Deviation (MAD)0.5482155965
Skewness-1.126765091
Sum0.5848420196
Variance0.6462704697
MonotonicityNot monotonic
2025-03-30T10:59:31.736846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4404483467 1
 
7.1%
-1.997992078 1
 
7.1%
0.1117875699 1
 
7.1%
1.088178014 1
 
7.1%
0.8620919871 1
 
7.1%
-0.6114740116 1
 
7.1%
0.08109860391 1
 
7.1%
0.6559828464 1
 
7.1%
-0.2222410705 1
 
7.1%
0.7790063117 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.997992078 1
7.1%
-0.6114740116 1
7.1%
-0.4770824106 1
7.1%
-0.4404483467 1
7.1%
-0.2731452194 1
7.1%
ValueCountFrequency (%)
1.088178014 1
7.1%
0.8620919871 1
7.1%
0.7790063117 1
7.1%
0.6559828464 1
7.1%
0.5409838222 1
7.1%

GProf
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2060628646
Minimum-1.7734694
Maximum2.461319394
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:32.201324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.7734694
5-th percentile-1.236971741
Q1-0.3690891398
median0.1813038933
Q30.7713494608
95-th percentile1.556707906
Maximum2.461319394
Range4.234788793
Interquartile range (IQR)1.140438601

Descriptive statistics

Standard deviation1.025186857
Coefficient of variation (CV)4.975116981
Kurtosis1.119253086
Mean0.2060628646
Median Absolute Deviation (MAD)0.6240261503
Skewness0.2280556172
Sum2.884880105
Variance1.051008092
MonotonicityNot monotonic
2025-03-30T10:59:32.634401image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.5468166708 1
 
7.1%
0.2583484776 1
 
7.1%
0.825447499 1
 
7.1%
-0.623005157 1
 
7.1%
-0.0002653715773 1
 
7.1%
-0.4226048016 1
 
7.1%
2.461319394 1
 
7.1%
-1.7734694 1
 
7.1%
0.104259309 1
 
7.1%
0.9859992669 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.7734694 1
7.1%
-0.9480883864 1
7.1%
-0.623005157 1
7.1%
-0.4226048016 1
7.1%
-0.2085421545 1
7.1%
ValueCountFrequency (%)
2.461319394 1
7.1%
1.069609412 1
7.1%
0.9859992669 1
7.1%
0.825447499 1
7.1%
0.6090553462 1
7.1%

equity_invcap
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06339844398
Minimum-2.460748198
Maximum1.487698604
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:33.038123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.460748198
5-th percentile-1.745881913
Q1-0.360778321
median-0.1103504471
Q30.5409185237
95-th percentile1.257662773
Maximum1.487698604
Range3.948446802
Interquartile range (IQR)0.9016968446

Descriptive statistics

Standard deviation1.025670138
Coefficient of variation (CV)-16.17815948
Kurtosis1.181169303
Mean-0.06339844398
Median Absolute Deviation (MAD)0.6101201191
Skewness-0.7710196354
Sum-0.8875782157
Variance1.051999231
MonotonicityNot monotonic
2025-03-30T10:59:33.458418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.1097746391 1
 
7.1%
1.487698604 1
 
7.1%
-0.7288399588 1
 
7.1%
1.133797325 1
 
7.1%
-0.1394860677 1
 
7.1%
-0.1109262551 1
 
7.1%
-0.4345424054 1
 
7.1%
-2.460748198 1
 
7.1%
0.4914002795 1
 
7.1%
0.557424605 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.460748198 1
7.1%
-1.360953913 1
7.1%
-0.7288399588 1
7.1%
-0.4345424054 1
7.1%
-0.1394860677 1
7.1%
ValueCountFrequency (%)
1.487698604 1
7.1%
1.133797325 1
7.1%
0.9938312603 1
7.1%
0.557424605 1
7.1%
0.4914002795 1
7.1%

debt_invcap
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2104433552
Minimum-1.691057393
Maximum1.667616342
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:33.870026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.691057393
5-th percentile-1.195960457
Q1-0.6207763175
median0.141225306
Q31.19706591
95-th percentile1.508850849
Maximum1.667616342
Range3.358673735
Interquartile range (IQR)1.817842227

Descriptive statistics

Standard deviation1.045221341
Coefficient of variation (CV)4.966758584
Kurtosis-1.07979301
Mean0.2104433552
Median Absolute Deviation (MAD)0.9279759067
Skewness-0.1691356145
Sum2.946206973
Variance1.092487652
MonotonicityNot monotonic
2025-03-30T10:59:34.266102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.059235048 1
 
7.1%
0.5566582847 1
 
7.1%
0.2860685626 1
 
7.1%
-0.7202197822 1
 
7.1%
-0.003617950569 1
 
7.1%
1.24300953 1
 
7.1%
1.389045987 1
 
7.1%
-0.9293697993 1
 
7.1%
1.423361738 1
 
7.1%
-0.2153609053 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.691057393 1
7.1%
-0.9293697993 1
7.1%
-0.7967167655 1
7.1%
-0.7202197822 1
7.1%
-0.3224459235 1
7.1%
ValueCountFrequency (%)
1.667616342 1
7.1%
1.423361738 1
7.1%
1.389045987 1
7.1%
1.24300953 1
7.1%
1.059235048 1
7.1%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2015949621
Minimum-1.273035895
Maximum1.865564901
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:59:34.678044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.273035895
5-th percentile-1.091443566
Q1-0.6102930655
median-0.3408674807
Q30.01054481497
95-th percentile1.043884997
Maximum1.865564901
Range3.138600796
Interquartile range (IQR)0.6208378804

Descriptive statistics

Standard deviation0.7671101705
Coefficient of variation (CV)-3.805205064
Kurtosis3.418367503
Mean-0.2015949621
Median Absolute Deviation (MAD)0.3341531616
Skewness1.472962381
Sum-2.822329469
Variance0.5884580136
MonotonicityNot monotonic
2025-03-30T10:59:35.089852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.02647857854 1
 
7.1%
-0.03725647575 1
 
7.1%
-0.146840332 1
 
7.1%
-0.5377701502 1
 
7.1%
-0.5001025027 1
 
7.1%
-0.4737097384 1
 
7.1%
-1.273035895 1
 
7.1%
1.865564901 1
 
7.1%
0.6014419719 1
 
7.1%
0.1946186479 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.273035895 1
7.1%
-0.9936630816 1
7.1%
-0.705562799 1
7.1%
-0.6344673705 1
7.1%
-0.5377701502 1
7.1%
ValueCountFrequency (%)
1.865564901 1
7.1%
0.6014419719 1
7.1%
0.1946186479 1
7.1%
0.02647857854 1
7.1%
-0.03725647575 1
7.1%

capital_ratio
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3117876545
Minimum-1.330273797
Maximum2.173940051
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:35.486151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.330273797
5-th percentile-1.141451521
Q1-0.5492171521
median0.3302967449
Q30.9871971746
95-th percentile1.973727824
Maximum2.173940051
Range3.504213848
Interquartile range (IQR)1.536414327

Descriptive statistics

Standard deviation1.062386407
Coefficient of variation (CV)3.407403697
Kurtosis-0.8157658762
Mean0.3117876545
Median Absolute Deviation (MAD)0.7879304698
Skewness0.1743186981
Sum4.365027163
Variance1.128664877
MonotonicityNot monotonic
2025-03-30T10:59:35.898439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.865921241 1
 
7.1%
0.289602566 1
 
7.1%
0.3709909238 1
 
7.1%
-0.5941180006 1
 
7.1%
0.9891307112 1
 
7.1%
0.9813965649 1
 
7.1%
-0.4145146068 1
 
7.1%
1.161346333 1
 
7.1%
0.6526451428 1
 
7.1%
-0.02571504043 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.330273797 1
7.1%
-1.039777988 1
7.1%
-0.7155469371 1
7.1%
-0.5941180006 1
7.1%
-0.4145146068 1
7.1%
ValueCountFrequency (%)
2.173940051 1
7.1%
1.865921241 1
7.1%
1.161346333 1
7.1%
0.9891307112 1
7.1%
0.9813965649 1
7.1%

cash_lt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1139055398
Minimum-0.8461376446
Maximum1.28140321
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:36.325627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8461376446
5-th percentile-0.840930281
Q1-0.5134082206
median0.1185222767
Q30.5246404591
95-th percentile1.208753805
Maximum1.28140321
Range2.127540855
Interquartile range (IQR)1.03804868

Descriptive statistics

Standard deviation0.7104277016
Coefficient of variation (CV)6.236989904
Kurtosis-1.066893988
Mean0.1139055398
Median Absolute Deviation (MAD)0.5753937858
Skewness0.1949150939
Sum1.594677557
Variance0.5047075192
MonotonicityNot monotonic
2025-03-30T10:59:36.689700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.569944932 1
 
7.1%
-0.3437980863 1
 
7.1%
-0.6366197069 1
 
7.1%
1.28140321 1
 
7.1%
0.3601305895 1
 
7.1%
-0.8461376446 1
 
7.1%
0.4376128442 1
 
7.1%
0.0888146662 1
 
7.1%
-0.838126316 1
 
7.1%
-0.1033703597 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8461376446 1
7.1%
-0.838126316 1
7.1%
-0.6366197069 1
7.1%
-0.569944932 1
7.1%
-0.3437980863 1
7.1%
ValueCountFrequency (%)
1.28140321 1
7.1%
1.169634894 1
7.1%
0.8931988472 1
7.1%
0.553649664 1
7.1%
0.4376128442 1
7.1%

debt_at
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2320571744
Minimum-0.9345106766
Maximum2.17837461
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:37.053858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9345106766
5-th percentile-0.9208250199
Q1-0.4571668192
median-0.08902080932
Q30.9696774526
95-th percentile1.756043484
Maximum2.17837461
Range3.112885287
Interquartile range (IQR)1.426844272

Descriptive statistics

Standard deviation0.9702068014
Coefficient of variation (CV)4.180895522
Kurtosis-0.5697010914
Mean0.2320571744
Median Absolute Deviation (MAD)0.7757375939
Skewness0.6076618333
Sum3.248800442
Variance0.9413012374
MonotonicityNot monotonic
2025-03-30T10:59:37.480707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2.17837461 1
 
7.1%
-0.5107471349 1
 
7.1%
1.180795429 1
 
7.1%
-0.08267667686 1
 
7.1%
1.528634416 1
 
7.1%
-0.9345106766 1
 
7.1%
-0.09536494178 1
 
7.1%
-0.100215883 1
 
7.1%
0.2943569394 1
 
7.1%
1.031306385 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9345106766 1
7.1%
-0.9134558202 1
7.1%
-0.8160609862 1
7.1%
-0.5107471349 1
7.1%
-0.296425872 1
7.1%
ValueCountFrequency (%)
2.17837461 1
7.1%
1.528634416 1
7.1%
1.180795429 1
7.1%
1.031306385 1
7.1%
0.7847906543 1
7.1%

debt_ebitda
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4892013247
Minimum-2.261950305
Maximum1.306465696
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)78.6%
Memory size224.0 B
2025-03-30T10:59:37.892929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.261950305
5-th percentile-1.790573063
Q1-1.017734538
median-0.2547363554
Q3-0.01214233856
95-th percentile0.6087351446
Maximum1.306465696
Range3.568416001
Interquartile range (IQR)1.005592199

Descriptive statistics

Standard deviation0.9006552868
Coefficient of variation (CV)-1.84107287
Kurtosis0.4106397705
Mean-0.4892013247
Median Absolute Deviation (MAD)0.5163431654
Skewness-0.1169276449
Sum-6.848818546
Variance0.8111799457
MonotonicityNot monotonic
2025-03-30T10:59:38.304634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2330340783 1
 
7.1%
-1.054083753 1
 
7.1%
-1.536754548 1
 
7.1%
-0.06691910967 1
 
7.1%
-0.00267690581 1
 
7.1%
-0.243368297 1
 
7.1%
-2.261950305 1
 
7.1%
0.1756485883 1
 
7.1%
-0.7996522525 1
 
7.1%
-0.2661044139 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.261950305 1
7.1%
-1.536754548 1
7.1%
-1.383231797 1
7.1%
-1.054083753 1
7.1%
-0.9086868907 1
7.1%
ValueCountFrequency (%)
1.306465696 1
7.1%
0.2330340783 1
7.1%
0.1756485883 1
7.1%
-0.00267690581 1
7.1%
-0.0405386368 1
7.1%

lt_debt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3578532538
Minimum-1.33505232
Maximum2.240984053
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:59:38.716108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.33505232
5-th percentile-1.120602423
Q1-0.4325401787
median0.5292146521
Q30.9331507793
95-th percentile1.706703403
Maximum2.240984053
Range3.576036373
Interquartile range (IQR)1.365690958

Descriptive statistics

Standard deviation1.043475236
Coefficient of variation (CV)2.915930553
Kurtosis-0.6569593141
Mean0.3578532538
Median Absolute Deviation (MAD)0.6415659283
Skewness-0.1217934037
Sum5.009945554
Variance1.088840569
MonotonicityNot monotonic
2025-03-30T10:59:39.144039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.005129402 1
 
7.1%
0.849461324 1
 
7.1%
-1.33505232 1
 
7.1%
-0.5864427182 1
 
7.1%
0.9532213689 1
 
7.1%
-1.003402313 1
 
7.1%
0.3685833405 1
 
7.1%
0.6898459638 1
 
7.1%
1.312299296 1
 
7.1%
0.8729390105 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.33505232 1
7.1%
-1.005129402 1
7.1%
-1.003402313 1
7.1%
-0.5864427182 1
7.1%
0.02916743964 1
7.1%
ValueCountFrequency (%)
2.240984053 1
7.1%
1.419013822 1
7.1%
1.312299296 1
7.1%
0.9532213689 1
7.1%
0.8729390105 1
7.1%

cash_debt
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2281535618
Minimum-1.098849561
Maximum2.257396758
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:39.571647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.098849561
5-th percentile-0.8059817574
Q1-0.3287349264
median-0.05583487134
Q30.4529871315
95-th percentile2.001557695
Maximum2.257396758
Range3.356246319
Interquartile range (IQR)0.7817220579

Descriptive statistics

Standard deviation0.9781149965
Coefficient of variation (CV)4.287090629
Kurtosis0.2558224207
Mean0.2281535618
Median Absolute Deviation (MAD)0.4092683427
Skewness1.024784306
Sum3.194149865
Variance0.9567089463
MonotonicityNot monotonic
2025-03-30T10:59:39.968652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.1689222716 1
 
7.1%
-0.2059436617 1
 
7.1%
2.257396758 1
 
7.1%
-0.04123851564 1
 
7.1%
0.1574148065 1
 
7.1%
-0.6482837093 1
 
7.1%
-1.098849561 1
 
7.1%
1.8637982 1
 
7.1%
-0.5605410801 1
 
7.1%
1.450970959 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.098849561 1
7.1%
-0.6482837093 1
7.1%
-0.5605410801 1
7.1%
-0.369665348 1
7.1%
-0.2059436617 1
7.1%
ValueCountFrequency (%)
2.257396758 1
7.1%
1.8637982 1
7.1%
1.450970959 1
7.1%
0.5515112399 1
7.1%
0.1574148065 1
7.1%

lt_ppent
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5674979656
Minimum-2.537672182
Maximum0.64409898
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:40.430576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.537672182
5-th percentile-1.763976571
Q1-1.24923125
median-0.3902399887
Q30.2102729602
95-th percentile0.5376728837
Maximum0.64409898
Range3.181771162
Interquartile range (IQR)1.45950421

Descriptive statistics

Standard deviation0.927173987
Coefficient of variation (CV)-1.633792618
Kurtosis-0.3179516577
Mean-0.5674979656
Median Absolute Deviation (MAD)0.8106657869
Skewness-0.515250919
Sum-7.944971518
Variance0.8596516022
MonotonicityNot monotonic
2025-03-30T10:59:40.894828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4803665241 1
 
7.1%
-0.2141269183 1
 
7.1%
-1.334034629 1
 
7.1%
-1.264994156 1
 
7.1%
0.1047459782 1
 
7.1%
-0.291549482 1
 
7.1%
0.2454486209 1
 
7.1%
-1.347371241 1
 
7.1%
-1.201942532 1
 
7.1%
0.4193890415 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.537672182 1
7.1%
-1.347371241 1
7.1%
-1.334034629 1
7.1%
-1.264994156 1
7.1%
-1.201942532 1
7.1%
ValueCountFrequency (%)
0.64409898 1
7.1%
0.4803665241 1
7.1%
0.4193890415 1
7.1%
0.2454486209 1
7.1%
0.1047459782 1
7.1%

dltt_be
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.186918355
Minimum-1.744959219
Maximum0.9293690355
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)64.3%
Memory size224.0 B
2025-03-30T10:59:41.323543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.744959219
5-th percentile-1.727747744
Q1-0.5661404994
median-0.1564131516
Q30.4691194076
95-th percentile0.8844420437
Maximum0.9293690355
Range2.674328255
Interquartile range (IQR)1.035259907

Descriptive statistics

Standard deviation0.848488406
Coefficient of variation (CV)-4.539353057
Kurtosis-0.1793294752
Mean-0.186918355
Median Absolute Deviation (MAD)0.4963037246
Skewness-0.5376266622
Sum-2.61685697
Variance0.7199325751
MonotonicityNot monotonic
2025-03-30T10:59:41.769315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.3734365244 1
 
7.1%
0.5557486341 1
 
7.1%
0.9293690355 1
 
7.1%
0.8602505865 1
 
7.1%
-0.5996826176 1
 
7.1%
-0.1821435916 1
 
7.1%
0.2092317279 1
 
7.1%
-1.718480026 1
 
7.1%
-1.744959219 1
 
7.1%
-0.7057511348 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.744959219 1
7.1%
-1.718480026 1
7.1%
-0.7057511348 1
7.1%
-0.5996826176 1
7.1%
-0.4655141449 1
7.1%
ValueCountFrequency (%)
0.9293690355 1
7.1%
0.8602505865 1
7.1%
0.7923595706 1
7.1%
0.5557486341 1
7.1%
0.2092317279 1
7.1%

debt_assets
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1222953565
Minimum-3.199760562
Maximum1.753552327
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:42.207076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.199760562
5-th percentile-1.722915908
Q1-0.7247989444
median-0.2106040272
Q30.4032956948
95-th percentile1.748060441
Maximum1.753552327
Range4.95331289
Interquartile range (IQR)1.128094639

Descriptive statistics

Standard deviation1.251360266
Coefficient of variation (CV)-10.23227948
Kurtosis2.0093669
Mean-0.1222953565
Median Absolute Deviation (MAD)0.5765053041
Skewness-0.7089506272
Sum-1.71213499
Variance1.565902515
MonotonicityNot monotonic
2025-03-30T10:59:42.673184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1324250427 1
 
7.1%
-0.9276918628 1
 
7.1%
1.745103271 1
 
7.1%
-0.2484786239 1
 
7.1%
1.753552327 1
 
7.1%
1.051542511 1
 
7.1%
-0.7217284889 1
 
7.1%
0.3137980967 1
 
7.1%
0.4331282274 1
 
7.1%
-0.7258224296 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-3.199760562 1
7.1%
-0.9276918628 1
7.1%
-0.8392125115 1
7.1%
-0.7258224296 1
7.1%
-0.7217284889 1
7.1%
ValueCountFrequency (%)
1.753552327 1
7.1%
1.745103271 1
7.1%
1.051542511 1
7.1%
0.4331282274 1
7.1%
0.3137980967 1
7.1%

debt_capital
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2663063656
Minimum-2.764478336
Maximum2.55956225
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:59:43.106098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.764478336
5-th percentile-1.707486036
Q1-0.6959991512
median-0.3750375009
Q30.2604111146
95-th percentile1.43935919
Maximum2.55956225
Range5.324040586
Interquartile range (IQR)0.9564102657

Descriptive statistics

Standard deviation1.18940573
Coefficient of variation (CV)-4.466306044
Kurtosis2.628349989
Mean-0.2663063656
Median Absolute Deviation (MAD)0.5373542129
Skewness0.4089744712
Sum-3.728289118
Variance1.414685991
MonotonicityNot monotonic
2025-03-30T10:59:43.574437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7160066093 1
 
7.1%
2.55956225 1
 
7.1%
0.5155633671 1
 
7.1%
-0.3092845695 1
 
7.1%
0.8361729265 1
 
7.1%
-0.4000220972 1
 
7.1%
-0.6359767766 1
 
7.1%
0.3479323582 1
 
7.1%
-0.002152616191 1
 
7.1%
-0.3500529045 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.764478336 1
7.1%
-1.138336337 1
7.1%
-1.076861042 1
7.1%
-0.7160066093 1
7.1%
-0.6359767766 1
7.1%
ValueCountFrequency (%)
2.55956225 1
7.1%
0.8361729265 1
7.1%
0.5155633671 1
7.1%
0.3479323582 1
7.1%
-0.002152616191 1
7.1%

de_ratio
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07367622552
Minimum-1.103046447
Maximum1.949709325
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:44.001107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.103046447
5-th percentile-1.102681964
Q1-0.7179294884
median-0.1188472629
Q30.3311888689
95-th percentile1.259292711
Maximum1.949709325
Range3.052755773
Interquartile range (IQR)1.049118357

Descriptive statistics

Standard deviation0.8589586591
Coefficient of variation (CV)-11.6585595
Kurtosis0.9057862655
Mean-0.07367622552
Median Absolute Deviation (MAD)0.5777356773
Skewness0.9014448579
Sum-1.031467157
Variance0.7378099781
MonotonicityNot monotonic
2025-03-30T10:59:44.513141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.7477440313 1
 
7.1%
0.4077273233 1
 
7.1%
-0.2084371897 1
 
7.1%
-0.3418083256 1
 
7.1%
0.05563212549 1
 
7.1%
-0.02925733614 1
 
7.1%
1.949709325 1
 
7.1%
0.1015735056 1
 
7.1%
-1.103046447 1
 
7.1%
-0.946824054 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.103046447 1
7.1%
-1.102485704 1
7.1%
-0.946824054 1
7.1%
-0.7477440313 1
7.1%
-0.6284858595 1
7.1%
ValueCountFrequency (%)
1.949709325 1
7.1%
0.8875299191 1
7.1%
0.6744495914 1
7.1%
0.4077273233 1
7.1%
0.1015735056 1
7.1%

at_turn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09903892057
Minimum-0.8102145668
Maximum1.636112242
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:59:45.062740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8102145668
5-th percentile-0.7555337012
Q1-0.548808425
median-0.3240301004
Q30.07279953446
95-th percentile1.271134598
Maximum1.636112242
Range2.446326809
Interquartile range (IQR)0.6216079595

Descriptive statistics

Standard deviation0.7124726268
Coefficient of variation (CV)-7.193865025
Kurtosis1.715485743
Mean-0.09903892057
Median Absolute Deviation (MAD)0.3278510239
Skewness1.490349821
Sum-1.386544888
Variance0.507617244
MonotonicityNot monotonic
2025-03-30T10:59:45.599604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.8102145668 1
 
7.1%
-0.1673216093 1
 
7.1%
-0.3258150798 1
 
7.1%
-0.3629540212 1
 
7.1%
-0.322245121 1
 
7.1%
-0.595122021 1
 
7.1%
-0.7260901582 1
 
7.1%
1.636112242 1
 
7.1%
1.074608174 1
 
7.1%
-0.4098676371 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.8102145668 1
7.1%
-0.7260901582 1
7.1%
-0.7086402276 1
7.1%
-0.595122021 1
7.1%
-0.4098676371 1
7.1%
ValueCountFrequency (%)
1.636112242 1
7.1%
1.074608174 1
7.1%
0.4683924202 1
7.1%
0.1528399157 1
7.1%
-0.1673216093 1
7.1%

rect_turn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08498157039
Minimum-1.791015521
Maximum1.67179139
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:46.079968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.791015521
5-th percentile-1.415104743
Q1-0.604205732
median0.1687078724
Q31.022378056
95-th percentile1.428143429
Maximum1.67179139
Range3.462806911
Interquartile range (IQR)1.626583788

Descriptive statistics

Standard deviation1.039061041
Coefficient of variation (CV)12.22689856
Kurtosis-0.8710833012
Mean0.08498157039
Median Absolute Deviation (MAD)0.8629819114
Skewness-0.1059857911
Sum1.189741985
Variance1.079647847
MonotonicityNot monotonic
2025-03-30T10:59:46.629445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3081137166 1
 
7.1%
0.02930202812 1
 
7.1%
-1.791015521 1
 
7.1%
-1.212691248 1
 
7.1%
-0.6078355645 1
 
7.1%
1.213269981 1
 
7.1%
-0.7807125135 1
 
7.1%
1.296948373 1
 
7.1%
0.3725277163 1
 
7.1%
-0.418003966 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.791015521 1
7.1%
-1.212691248 1
7.1%
-0.7807125135 1
7.1%
-0.6078355645 1
7.1%
-0.5933162346 1
7.1%
ValueCountFrequency (%)
1.67179139 1
7.1%
1.296948373 1
7.1%
1.251661545 1
7.1%
1.213269981 1
7.1%
0.4497022829 1
7.1%

pay_turn
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2407790343
Minimum-1.603939236
Maximum0.9469616148
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)71.4%
Memory size224.0 B
2025-03-30T10:59:47.056799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.603939236
5-th percentile-1.494455094
Q1-0.683670913
median-0.1501712836
Q30.2890961086
95-th percentile0.9223756387
Maximum0.9469616148
Range2.550900851
Interquartile range (IQR)0.9727670216

Descriptive statistics

Standard deviation0.7874576007
Coefficient of variation (CV)-3.270457509
Kurtosis-0.6193215739
Mean-0.2407790343
Median Absolute Deviation (MAD)0.5569112423
Skewness-0.1576979064
Sum-3.37090648
Variance0.6200894729
MonotonicityNot monotonic
2025-03-30T10:59:47.487941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.5963290157 1
 
7.1%
-0.05264372376 1
 
7.1%
-1.603939236 1
 
7.1%
-0.9792957165 1
 
7.1%
0.4010376059 1
 
7.1%
-0.4319277192 1
 
7.1%
-0.2328516936 1
 
7.1%
0.9469616148 1
 
7.1%
-1.435502095 1
 
7.1%
0.5314505987 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.603939236 1
7.1%
-1.435502095 1
7.1%
-0.9792957165 1
7.1%
-0.7127848787 1
7.1%
-0.5963290157 1
7.1%
ValueCountFrequency (%)
0.9469616148 1
7.1%
0.9091370362 1
7.1%
0.5314505987 1
7.1%
0.4010376059 1
7.1%
-0.04672838311 1
7.1%

sale_invcap
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08278888316
Minimum-1.347227657
Maximum1.620183493
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:47.911526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.347227657
5-th percentile-1.261941399
Q1-0.5872397041
median-0.3028222429
Q30.4280895366
95-th percentile1.246772153
Maximum1.620183493
Range2.96741115
Interquartile range (IQR)1.015329241

Descriptive statistics

Standard deviation0.8658024643
Coefficient of variation (CV)-10.4579556
Kurtosis-0.3927515627
Mean-0.08278888316
Median Absolute Deviation (MAD)0.514797383
Skewness0.4889364744
Sum-1.159044364
Variance0.7496139072
MonotonicityNot monotonic
2025-03-30T10:59:48.311456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.2354246246 1
 
7.1%
-0.6099576255 1
 
7.1%
0.4906771045 1
 
7.1%
0.2403268329 1
 
7.1%
0.02883890946 1
 
7.1%
1.045704508 1
 
7.1%
-0.7892679332 1
 
7.1%
0.9390443693 1
 
7.1%
1.620183493 1
 
7.1%
-0.51908594 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.347227657 1
7.1%
-1.216018029 1
7.1%
-0.7892679332 1
7.1%
-0.6099576255 1
7.1%
-0.51908594 1
7.1%
ValueCountFrequency (%)
1.620183493 1
7.1%
1.045704508 1
7.1%
0.9390443693 1
7.1%
0.4906771045 1
7.1%
0.2403268329 1
7.1%

sale_equity
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1102773702
Minimum-1.21297364
Maximum1.319467844
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)50.0%
Memory size224.0 B
2025-03-30T10:59:48.848820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.21297364
5-th percentile-1.16481541
Q1-0.4088852423
median0.1182267699
Q30.7786875804
95-th percentile1.280292736
Maximum1.319467844
Range2.532441484
Interquartile range (IQR)1.187572823

Descriptive statistics

Standard deviation0.8561731081
Coefficient of variation (CV)7.763815067
Kurtosis-1.243032113
Mean0.1102773702
Median Absolute Deviation (MAD)0.6596784063
Skewness-0.180797113
Sum1.543883182
Variance0.7330323911
MonotonicityNot monotonic
2025-03-30T10:59:49.330228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.4566760979 1
 
7.1%
0.8582360485 1
 
7.1%
0.5145217077 1
 
7.1%
1.259198447 1
 
7.1%
0.7794699846 1
 
7.1%
-0.1933459497 1
 
7.1%
-0.2655126753 1
 
7.1%
-0.2034819319 1
 
7.1%
-1.21297364 1
 
7.1%
-0.9222763574 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.21297364 1
7.1%
-1.138884055 1
7.1%
-0.9222763574 1
7.1%
-0.4566760979 1
7.1%
-0.2655126753 1
7.1%
ValueCountFrequency (%)
1.319467844 1
7.1%
1.259198447 1
7.1%
0.8582360485 1
7.1%
0.7794699846 1
7.1%
0.7763403679 1
7.1%

rd_sale
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1213077223
Minimum-0.9124527878
Maximum1.878286149
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)42.9%
Memory size224.0 B
2025-03-30T10:59:49.797297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9124527878
5-th percentile-0.8496896354
Q1-0.5811598275
median0.2907244015
Q30.5461071734
95-th percentile1.30525375
Maximum1.878286149
Range2.790738937
Interquartile range (IQR)1.127267001

Descriptive statistics

Standard deviation0.8086660936
Coefficient of variation (CV)6.666237552
Kurtosis-0.06602443423
Mean0.1213077223
Median Absolute Deviation (MAD)0.6997910242
Skewness0.5517785619
Sum1.698308112
Variance0.6539408509
MonotonicityNot monotonic
2025-03-30T10:59:50.303473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.878286149 1
 
7.1%
-0.6990291383 1
 
7.1%
-0.4866892457 1
 
7.1%
0.5473381606 1
 
7.1%
0.5424142118 1
 
7.1%
0.9966978435 1
 
7.1%
0.3536116037 1
 
7.1%
0.3474968043 1
 
7.1%
-0.4028842049 1
 
7.1%
0.7281108303 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.9124527878 1
7.1%
-0.8158940918 1
7.1%
-0.6990291383 1
7.1%
-0.6126500215 1
7.1%
-0.4866892457 1
7.1%
ValueCountFrequency (%)
1.878286149 1
7.1%
0.9966978435 1
7.1%
0.7281108303 1
7.1%
0.5473381606 1
7.1%
0.5424142118 1
7.1%

adv_sale
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01773551112
Minimum-2.180119904
Maximum2.143161518
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:51.473149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.180119904
5-th percentile-1.632780642
Q1-0.571002283
median-0.04767132431
Q30.3327631238
95-th percentile1.958202314
Maximum2.143161518
Range4.323281422
Interquartile range (IQR)0.9037654069

Descriptive statistics

Standard deviation1.141333899
Coefficient of variation (CV)-64.35303114
Kurtosis0.5376763346
Mean-0.01773551112
Median Absolute Deviation (MAD)0.5731415669
Skewness0.2184318606
Sum-0.2482971557
Variance1.30264307
MonotonicityNot monotonic
2025-03-30T10:59:51.953930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.3380595 1
 
7.1%
0.05568747808 1
 
7.1%
0.7889775194 1
 
7.1%
-0.7211614614 1
 
7.1%
2.143161518 1
 
7.1%
-0.02843515495 1
 
7.1%
-0.1179282908 1
 
7.1%
1.858608897 1
 
7.1%
-0.9927934752 1
 
7.1%
-0.1205247481 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-2.180119904 1
7.1%
-1.3380595 1
7.1%
-0.9927934752 1
7.1%
-0.7211614614 1
7.1%
-0.1205247481 1
7.1%
ValueCountFrequency (%)
2.143161518 1
7.1%
1.858608897 1
7.1%
0.7889775194 1
7.1%
0.4251216724 1
7.1%
0.05568747808 1
7.1%

staff_sale
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6025844113
Minimum-0.4900578508
Maximum2.648903621
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)28.6%
Memory size224.0 B
2025-03-30T10:59:52.387311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4900578508
5-th percentile-0.4237387987
Q1-0.04065068233
median0.5398847342
Q30.9182162355
95-th percentile2.157766837
Maximum2.648903621
Range3.138961472
Interquartile range (IQR)0.9588669179

Descriptive statistics

Standard deviation0.8621461883
Coefficient of variation (CV)1.43074758
Kurtosis1.315672007
Mean0.6025844113
Median Absolute Deviation (MAD)0.4592091874
Skewness1.083639992
Sum8.436181758
Variance0.7432960499
MonotonicityNot monotonic
2025-03-30T10:59:52.869258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.8625645967 1
 
7.1%
0.551515869 1
 
7.1%
0.08150704108 1
 
7.1%
1.893308568 1
 
7.1%
-0.08136992346 1
 
7.1%
2.648903621 1
 
7.1%
0.5282535993 1
 
7.1%
0.6252338685 1
 
7.1%
0.3680355746 1
 
7.1%
0.9367667818 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-0.4900578508 1
7.1%
-0.3880285399 1
7.1%
-0.1003768635 1
7.1%
-0.08136992346 1
7.1%
0.08150704108 1
7.1%
ValueCountFrequency (%)
2.648903621 1
7.1%
1.893308568 1
7.1%
0.9999254158 1
7.1%
0.9367667818 1
7.1%
0.8625645967 1
7.1%

accrual
Real number (ℝ)

Unique 

Distinct14
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09813749605
Minimum-1.623514052
Maximum1.696505582
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)57.1%
Memory size224.0 B
2025-03-30T10:59:53.376225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.623514052
5-th percentile-1.530149771
Q1-0.6125183586
median-0.1996630481
Q30.6560816115
95-th percentile1.159346645
Maximum1.696505582
Range3.320019634
Interquartile range (IQR)1.26859997

Descriptive statistics

Standard deviation0.9674117048
Coefficient of variation (CV)-9.857717425
Kurtosis-0.5651086178
Mean-0.09813749605
Median Absolute Deviation (MAD)0.8230787098
Skewness0.03147269205
Sum-1.373924945
Variance0.9358854066
MonotonicityNot monotonic
2025-03-30T10:59:53.861446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.8226480217 1
 
7.1%
1.696505582 1
 
7.1%
-0.3691499343 1
 
7.1%
-0.3290438519 1
 
7.1%
-0.6936411668 1
 
7.1%
-1.479876696 1
 
7.1%
-0.2863893452 1
 
7.1%
0.6887475615 1
 
7.1%
0.8701072171 1
 
7.1%
-1.623514052 1
 
7.1%
Other values (4) 4
28.6%
ValueCountFrequency (%)
-1.623514052 1
7.1%
-1.479876696 1
7.1%
-1.241519213 1
7.1%
-0.6936411668 1
7.1%
-0.3691499343 1
7.1%
ValueCountFrequency (%)
1.696505582 1
7.1%
0.8701072171 1
7.1%
0.8226480217 1
7.1%
0.6887475615 1
7.1%
0.5580837617 1
7.1%
Distinct5
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size224.0 B
2025-03-30T10:59:54.591441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length108
Mean length98.92857143
Min length83

Characters and Unicode

Total characters1385
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)7.1%

Sample

1st rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
2nd rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
3rd rowThe company reported a steady increase in revenue, reflecting strong market demand.
4th rowThe company reported a steady increase in revenue, reflecting strong market demand.
5th rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
ValueCountFrequency (%)
in 16
 
8.4%
the 13
 
6.8%
market 6
 
3.1%
strong 6
 
3.1%
supply 5
 
2.6%
remain 5
 
2.6%
but 5
 
2.6%
strategic 5
 
2.6%
investments 5
 
2.6%
chain 5
 
2.6%
Other values (49) 120
62.8%
2025-03-30T10:59:55.780775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
12.8%
e 154
11.1%
i 129
 
9.3%
n 105
 
7.6%
t 102
 
7.4%
a 82
 
5.9%
s 82
 
5.9%
r 71
 
5.1%
o 53
 
3.8%
l 46
 
3.3%
Other values (22) 384
27.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1385
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
177
12.8%
e 154
11.1%
i 129
 
9.3%
n 105
 
7.6%
t 102
 
7.4%
a 82
 
5.9%
s 82
 
5.9%
r 71
 
5.1%
o 53
 
3.8%
l 46
 
3.3%
Other values (22) 384
27.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1385
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
177
12.8%
e 154
11.1%
i 129
 
9.3%
n 105
 
7.6%
t 102
 
7.4%
a 82
 
5.9%
s 82
 
5.9%
r 71
 
5.1%
o 53
 
3.8%
l 46
 
3.3%
Other values (22) 384
27.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1385
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
177
12.8%
e 154
11.1%
i 129
 
9.3%
n 105
 
7.6%
t 102
 
7.4%
a 82
 
5.9%
s 82
 
5.9%
r 71
 
5.1%
o 53
 
3.8%
l 46
 
3.3%
Other values (22) 384
27.7%